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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. 18906
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    Explanations

    technical terms related to enhancing, monitoring, or optimizing performance and functionality

    oai_token-act-pair · gpt-3.5-turbo

    terms related to stability and performance metrics in various contexts

    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
    utsche
    -0.79
    yss
    -0.76
    çĶ°
    -0.75
    aucas
    -0.66
    Reloaded
    -0.66
    EGIN
    -0.63
    ARGET
    -0.63
    oidal
    -0.62
    TERN
    -0.60
    uple
    -0.59
    POSITIVE LOGITS
    vertisements
    0.66
    reach
    0.66
     bleed
    0.65
    paces
    0.63
    bands
    0.63
    flows
    0.62
    hops
    0.62
     reperto
    0.62
    borough
    0.61
     rolls
    0.61
    Activations Density 0.466%

    No Known Activations