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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. 9-RES-JB
    11. 6056
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    OGR
    -0.98
    KC
    -0.93
    nin
    -0.81
    hesis
    -0.80
    mouth
    -0.80
    cue
    -0.80
    ________________________________________________________________
    -0.79
    retty
    -0.77
    WI
    -0.76
     teasp
    -0.76
    POSITIVE LOGITS
     whether
    1.24
     how
    1.19
     why
    1.00
     needing
    0.93
     wanting
    0.91
     improving
    0.91
     obtaining
    0.91
     respecting
    0.90
     preserving
    0.89
     what
    0.88
    Activations Density 0.127%

    No Known Activations