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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. 18656
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    Explanations

    ways in which things are done or executed

    oai_token-act-pair · gpt-3.5-turbo

    expressions that discuss different methods or approaches

    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
     reload
    -0.73
    rament
    -0.68
    avorite
    -0.67
    inently
    -0.67
    ilage
    -0.64
    inally
    -0.64
     duty
    -0.64
     bearer
    -0.63
    dinand
    -0.63
    ined
    -0.63
    POSITIVE LOGITS
    hered
    0.79
    Adapt
    0.76
    finding
    0.70
    Dist
    0.70
    LI
    0.68
    fare
    0.68
    sid
    0.68
    forward
    0.68
    ãĤ¨
    0.67
    ward
    0.66
    Activations Density 0.032%

    No Known Activations