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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. 19411
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    Explanations

    names or terms related to specific individuals, possibly in a legal or investigative context

    oai_token-act-pair · gpt-3.5-turbo

    conjunctions and small connecting words

    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
    akeru
    -0.81
     ancest
    -0.71
    htaking
    -0.66
    ierrez
    -0.66
     Sap
    -0.65
    anyahu
    -0.63
     heels
    -0.62
     TTL
    -0.61
     behav
    -0.60
    ilage
    -0.59
    POSITIVE LOGITS
    ruck
    0.72
    ç·
    0.70
    vable
    0.70
    Dispatch
    0.69
    abled
    0.68
    avy
    0.68
    NT
    0.68
    bor
    0.66
    utable
    0.66
    äºĶ
    0.66
    Activations Density 0.191%

    No Known Activations