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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. 11-RES-JB
    11. 992
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    INDEX
    Explanations

    mentions of interviews and questions posed, potentially related to journalistic or conversational contexts

    oai_token-act-pair · gpt-3.5-turbo

    instances of interviews and discussions about personalities or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cised
    -0.88
     mac
    -0.84
    Philipp
    -0.84
     circumcised
    -0.81
    eneg
    -0.79
     Maced
    -0.79
    Nusra
    -0.77
     nib
    -0.76
    mac
    -0.75
     monkeys
    -0.75
    POSITIVE LOGITS
    Hall
    2.54
     Hall
    2.53
     Halls
    1.88
     hall
    1.85
    hall
    1.68
     halls
    1.50
     hallway
    1.13
     Hill
    1.03
     Arena
    1.02
     Dome
    0.96
    Activations Density 0.170%

    No Known Activations