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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 6-RES-JB
    11. 3079
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    Explanations

    technical terms and names related to various fields like simulations, gravitational lenses, compressed stabilized earth blocks, malware aliases, programming languages, electric flow, rogue groups, and project names

    oai_token-act-pair · gpt-3.5-turbo

    terms related to scientific concepts and entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ividual
    -0.68
     confir
    -0.64
    olulu
    -0.62
     inclined
    -0.59
    hesda
    -0.59
     tempted
    -0.58
    jriwal
    -0.58
     plunged
    -0.58
     coerc
    -0.57
    iston
    -0.57
    POSITIVE LOGITS
    "—
    0.68
    LOCK
    0.66
    MAP
    0.61
     Boh
    0.60
    Bal
    0.60
    Alias
    0.58
     Bastard
    0.58
    ",
    0.57
     Patel
    0.57
    XXX
    0.57
    Activations Density 0.407%

    No Known Activations