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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. 4041
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    Explanations

    programming-related terms or text characters, possibly related to code or syntax

    oai_token-act-pair · gpt-3.5-turbo

    sequences of characters that resemble different language scripts or symbols

    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
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    Negative Logits
     trickle
    -0.71
    theless
    -0.71
    etheless
    -0.62
     bounce
    -0.61
    gencies
    -0.61
     clipboard
    -0.60
     bumper
    -0.60
    anwhile
    -0.59
     reconc
    -0.58
     WARN
    -0.58
    POSITIVE LOGITS
    É
    1.15
    /)
    1.03
    ).[
    0.99
    )[
    0.99
    Ä«
    0.98
    Ì
    0.98
    Äģ
    0.95
    ],
    0.93
    âĢİ
    0.92
    Å«
    0.92
    Activations Density 0.122%

    No Known Activations