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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. 4530
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    Explanations

    specific terms related to software or technology installation procedures

    oai_token-act-pair · gpt-3.5-turbo

    words related to aptitude and capability

    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
    FORE
    -0.78
    BIP
    -0.75
     Spears
    -0.73
    Ô
    -0.71
     Cage
    -0.68
     resil
    -0.65
     Soros
    -0.65
    BuyableInstoreAndOnline
    -0.64
     Zimbabwe
    -0.64
     Sterling
    -0.64
    POSITIVE LOGITS
    itude
    1.40
    urous
    1.06
    itudes
    1.00
    ainment
    0.99
    imony
    0.96
    acular
    0.95
    sylvania
    0.94
    oir
    0.93
    heon
    0.93
    ilian
    0.91
    Activations Density 0.006%

    No Known Activations