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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. 1-RES-JB
    11. 21368
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    Explanations

    terms related to technical details and specific entities like names and titles

    oai_token-act-pair · gpt-3.5-turbo

    specific named entities and terms related to the sports world, particularly basketball and associated players or teams

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĨĴ
    -0.87
    jamin
    -0.76
    riet
    -0.70
    strings
    -0.68
    rastructure
    -0.67
    ORGE
    -0.67
     Holden
    -0.65
    wig
    -0.64
    auga
    -0.64
    EMP
    -0.64
    POSITIVE LOGITS
     Rak
    0.80
    senal
    0.78
    haps
    0.71
    uled
    0.71
    resist
    0.70
    dy
    0.70
    ivas
    0.68
    ublic
    0.68
    interstitial
    0.67
    outine
    0.66
    Activations Density 0.020%

    No Known Activations