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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. 11-RES-JB
    11. 16523
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    INDEX
    Explanations

    instances where someone expresses interest in a particular topic or activity

    oai_token-act-pair · gpt-3.5-turbo

    instances of interest or involvement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lag
    -0.80
    reau
    -0.80
    SON
    -0.77
    RIP
    -0.73
    Fail
    -0.73
    rete
    -0.72
    orst
    -0.71
    rical
    -0.70
    enge
    -0.70
    cue
    -0.68
    POSITIVE LOGITS
     acquiring
    1.39
     pursuing
    1.36
     seeing
    1.33
     preserving
    1.31
     discovering
    1.28
     exploring
    1.28
     hearing
    1.26
     learning
    1.25
     obtaining
    1.24
     helping
    1.23
    Activations Density 0.080%

    No Known Activations