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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    names

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific names and places, particularly "rice" and geographic features like the "Nile."

    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
    night
    -0.82
    alach
    -0.71
    atural
    -0.71
    anger
    -0.71
    earchers
    -0.70
    alty
    -0.69
    oreal
    -0.68
    angers
    -0.66
    es
    -0.66
    nect
    -0.63
    POSITIVE LOGITS
    rice
    0.91
    ptives
    0.86
    llo
    0.85
    lli
    0.84
    llor
    0.83
    llular
    0.83
     Ney
    0.82
    cules
    0.81
    ption
    0.80
     Paste
    0.74
    Activations Density 0.016%

    No Known Activations