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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. 3-RES-JB
    11. 20282
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    Explanations

    proper names

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "war" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    essee
    -0.90
    sembly
    -0.80
    ĸļ
    -0.78
    aminer
    -0.76
    Ħ¢
    -0.68
    URES
    -0.67
    ħĭ
    -0.66
    İĭ
    -0.66
     Seller
    -0.65
    afort
    -0.62
    POSITIVE LOGITS
    fare
    1.48
    rior
    1.48
    riors
    1.44
    ring
    1.13
    war
    1.00
    lord
    0.95
    lords
    0.94
    ney
    0.85
    hammer
    0.85
    dy
    0.85
    Activations Density 0.007%

    No Known Activations