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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. 4-RES-JB
    11. 1760
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    Explanations

    references to specific characters or names

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific name or concept associated with a recurring symbol or character

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

    No Comments

    Negative Logits
    espie
    -0.83
     Wilmington
    -0.71
    wagen
    -0.68
    ardless
    -0.67
     Stard
    -0.67
     Indigo
    -0.66
    tainment
    -0.65
    intendent
    -0.64
     Beckham
    -0.63
     Coliseum
    -0.63
    POSITIVE LOGITS
    ©¶æ¥µ
    1.18
    ŃĶ
    1.15
    Ĵ
    1.14
    ģ
    1.12
    ı
    1.09
    Į
    1.06
    §
    1.05
    Ł
    1.05
    »
    1.05
    Ģ
    1.03
    Activations Density 0.010%

    No Known Activations