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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. 10-RES-JB
    11. 24398
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    Explanations

    phrases indicating the absence of a relationship or connection

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a lack of relevance or connection

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    riger
    -0.76
    cember
    -0.73
    idge
    -0.69
    cephal
    -0.67
    aniel
    -0.65
    unal
    -0.65
    tn
    -0.64
    mint
    -0.61
    illin
    -0.60
    irez
    -0.60
    POSITIVE LOGITS
     do
    0.87
     fear
    0.75
     worry
    0.73
     contribute
    0.72
     hide
    0.69
     differentiate
    0.67
     gain
    0.67
     lose
    0.64
     distinguish
    0.63
     signify
    0.63
    Activations Density 0.034%

    No Known Activations