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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. 3085
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    Explanations

    names of individuals starting with "McK" and numbers likely corresponding to the strength of the match

    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
    uten
    -0.75
    edia
    -0.71
    ggle
    -0.71
    conn
    -0.70
     PLA
    -0.69
    thora
    -0.66
    itans
    -0.66
    ocular
    -0.66
    atche
    -0.65
    inatory
    -0.65
    POSITIVE LOGITS
    lain
    0.71
    Parameters
    0.71
     Norn
    0.68
     Granger
    0.67
     Technologies
    0.67
    rack
    0.67
    ally
    0.64
     Alonso
    0.63
    leness
    0.63
    staking
    0.63
    Activations Density 0.084%

    No Known Activations