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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. 7-RES-JB
    11. 11755
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    Explanations

    keywords related to bullets and bullet-related actions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to bullets or projectiles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    CRE
    -0.73
    wcsstore
    -0.71
    River
    -0.71
     Suc
    -0.69
    ECA
    -0.69
    uthor
    -0.69
    paces
    -0.69
    æĦ
    -0.67
    Brien
    -0.67
    UTC
    -0.66
    POSITIVE LOGITS
    proof
    1.26
     holes
    0.86
     bullets
    0.85
     bullet
    0.84
     dodged
    0.82
     hole
    0.81
    deen
    0.81
    guns
    0.76
    aneous
    0.76
    ooth
    0.76
    Activations Density 0.026%

    No Known Activations