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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. 7-RES-JB
    11. 9669
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    Explanations

    phrases indicating a comparison or contrast with previous experiences or situations

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Rew
    -0.70
    ãĥ¼ãĥ
    -0.69
    Michelle
    -0.67
    Occup
    -0.67
    IJ
    -0.65
    Must
    -0.65
    Activ
    -0.65
    bern
    -0.64
    æ©
    -0.63
    Ble
    -0.62
    POSITIVE LOGITS
    ankind
    0.78
    orthy
    0.76
    htaking
    0.75
    ieth
    0.71
     unsus
    0.70
    theless
    0.69
    ilings
    0.69
     seeing
    0.69
     dipping
    0.68
     discovering
    0.68
    Activations Density 0.023%

    No Known Activations