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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. 7196
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    Explanations

    mentions and descriptions of violent attacks in various locations

    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
    uid
    -0.83
     wrinkles
    -0.77
    utical
    -0.74
    bet
    -0.74
    soDeliveryDate
    -0.72
    ãĤ´ãĥ³
    -0.72
    uber
    -0.72
    ringe
    -0.70
    igmat
    -0.69
    zl
    -0.69
    POSITIVE LOGITS
     civilians
    0.79
     Pearl
    0.76
     civilian
    0.70
     unarmed
    0.68
     behalf
    0.67
     terror
    0.67
     innocent
    0.66
     Meredith
    0.66
    itals
    0.66
     targets
    0.65
    Activations Density 0.192%

    No Known Activations