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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. 3326
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    INDEX
    Explanations

    financial and economic terms

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to skills, opportunities, and the idea of fun

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    kef
    -0.78
    doms
    -0.74
    folios
    -0.73
    iasm
    -0.72
    apor
    -0.71
    ersion
    -0.71
    afia
    -0.70
    pta
    -0.67
    ebus
    -0.66
    ourning
    -0.66
    POSITIVE LOGITS
     reminder
    0.87
     worth
    0.87
     downright
    0.85
     nonetheless
    0.82
     downside
    0.82
     punishable
    0.81
     achievable
    0.81
     importantly
    0.79
     also
    0.78
     frustrating
    0.76
    Activations Density 0.498%

    No Known Activations