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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. 3-RES-JB
    11. 7250
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    INDEX
    Explanations

    references to bounties or bounty hunters

    oai_token-act-pair · gpt-3.5-turbo

    references to bounty hunters and bounty-related concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    icken
    -0.85
    ppard
    -0.80
    VW
    -0.72
    mus
    -0.70
    MR
    -0.68
    Relations
    -0.68
    CON
    -0.68
    case
    -0.66
     Religious
    -0.66
    andem
    -0.64
    POSITIVE LOGITS
     bounty
    1.57
     bount
    1.38
     hunter
    1.26
     hunters
    1.11
     Bounty
    1.00
    iless
    0.93
     hunting
    0.85
    vertisement
    0.83
    iful
    0.80
     challeng
    0.80
    Activations Density 0.005%

    No Known Activations