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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. 860
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    Explanations

    verbs related to legal actions and criminal acts

    oai_token-act-pair · gpt-3.5-turbo

    words related to accusations, questions, and the concept of accountability

    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
    Pur
    -0.69
    istries
    -0.65
    nom
    -0.59
    pan
    -0.59
    shift
    -0.59
    issy
    -0.58
    isal
    -0.58
    Ru
    -0.58
    nton
    -0.58
    rep
    -0.57
    POSITIVE LOGITS
    pez
    0.83
     during
    0.72
     Albion
    0.72
    ãĥ¼ãĥĨ
    0.71
    during
    0.71
     uttered
    0.70
    dL
    0.68
     encount
    0.66
     concurrently
    0.65
     by
    0.65
    Activations Density 0.372%

    No Known Activations