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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. 18617
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    Explanations

    different takes or interpretations

    oai_token-act-pair · gpt-3.5-turbo

    various interpretations or perspectives on a subject

    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
     brill
    -0.67
     david
    -0.63
    rica
    -0.60
    hips
    -0.59
     constitu
    -0.58
    Cong
    -0.58
     advertised
    -0.58
     agre
    -0.58
    etheless
    -0.58
     exiled
    -0.58
    POSITIVE LOGITS
    aways
    1.58
    overs
    1.23
    away
    1.05
    over
    1.01
    offs
    0.97
    OVER
    0.90
    shots
    0.81
    autions
    0.77
    weed
    0.76
    crow
    0.75
    Activations Density 0.042%

    No Known Activations