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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. 21693
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terminology related to organizing or categorizing information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    interrupted
    -0.83
    eon
    -0.77
    peria
    -0.77
    ept
    -0.76
    ACT
    -0.72
    vette
    -0.68
    akening
    -0.67
    pton
    -0.67
    rises
    -0.67
    roach
    -0.67
    POSITIVE LOGITS
     Parenthood
    0.84
    Īè
    0.80
    asso
    0.79
     sorting
    0.73
    oday
    0.71
    phabet
    0.69
    opia
    0.69
     bins
    0.69
    igue
    0.68
    iewicz
    0.68
    Activations Density 0.045%

    No Known Activations