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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. 9-RES-JB
    11. 23407
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    INDEX
    Explanations

    phrases indicating understanding or observation

    oai_token-act-pair · gpt-3.5-turbo

    phrases repeatedly addressing the reader directly

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pan
    -0.76
    abin
    -0.65
    itan
    -0.63
    otom
    -0.63
     Lug
    -0.63
    frog
    -0.62
    indal
    -0.61
    cair
    -0.60
    imer
    -0.59
    ococ
    -0.59
    POSITIVE LOGITS
     guessed
    1.01
     doubtless
    0.83
     attest
    0.81
     notice
    0.77
     reading
    0.77
    seen
    0.76
     know
    0.76
     recall
    0.76
     note
    0.75
     inferred
    0.75
    Activations Density 0.061%

    No Known Activations