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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. 4-RES-JB
    11. 16166
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    Explanations

    facts or statements of truth

    oai_token-act-pair · gpt-3.5-turbo

    statements that present facts or assertions

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

    No Comments

    Negative Logits
    intend
    -0.75
    ilaterally
    -0.74
    TPPStreamerBot
    -0.69
    Eva
    -0.68
    poon
    -0.67
    ensis
    -0.65
    ceive
    -0.65
    KO
    -0.63
    avement
    -0.62
    thood
    -0.62
    POSITIVE LOGITS
     factor
    0.66
     implication
    0.62
     snowball
    0.59
     impetus
    0.58
    oret
    0.58
     embold
    0.58
    icter
    0.58
     presented
    0.57
    ariat
    0.57
     recru
    0.56
    Activations Density 0.386%

    No Known Activations