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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. 3-RES-JB
    11. 24558
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    Explanations

    words related to the action of analyzing or examining closely

    oai_token-act-pair · gpt-3.5-turbo

    words and suffixes related to analysis and evaluation processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    udeb
    -0.73
    pite
    -0.71
     sustaining
    -0.70
    idity
    -0.68
     inertia
    -0.63
    fighting
    -0.62
     celebration
    -0.60
     jealous
    -0.60
     hunger
    -0.59
     perpet
    -0.59
    POSITIVE LOGITS
    andum
    0.75
     Gaw
    0.73
     Probe
    0.71
    ostic
    0.70
     Wiz
    0.69
    tics
    0.69
     Seller
    0.69
    gdala
    0.68
    udic
    0.66
    ij士
    0.66
    Activations Density 0.132%

    No Known Activations