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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. 5522
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    Explanations

    items of clothing or accessories

    oai_token-act-pair · gpt-3.5-turbo

    phrases that describe characteristics or attributes of objects

    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
    iasco
    -0.78
    sburg
    -0.74
    alty
    -0.74
    matter
    -0.71
    pace
    -0.70
    borgh
    -0.69
    EMBER
    -0.69
    UFC
    -0.68
    uel
    -0.68
    hare
    -0.66
    POSITIVE LOGITS
    stood
    1.38
    drawn
    1.13
    draw
    1.00
     regard
    0.93
     tint
    0.90
     bells
    0.89
     weights
    0.88
     impunity
    0.86
     regards
    0.85
     caveats
    0.84
    Activations Density 0.144%

    No Known Activations