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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. 9-RES-JB
    11. 22848
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    INDEX
    Explanations

    mentions of the name "Hunt."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    phrases related to the name "Hunt"

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    afort
    -0.77
    board
    -0.71
    boarding
    -0.71
     Leilan
    -0.70
    essor
    -0.68
     Seym
    -0.68
     instr
    -0.67
    istors
    -0.66
    Downloadha
    -0.63
    umbn
    -0.63
    POSITIVE LOGITS
    ley
    1.15
    lett
    0.96
    kinson
    0.94
    ress
    0.92
    ²¾
    0.90
    leys
    0.87
    witz
    0.87
    resses
    0.86
    waters
    0.84
    enstein
    0.80
    Activations Density 0.079%

    No Known Activations