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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. 13031
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    Explanations

    terms related to essential elements or key components

    oai_token-act-pair · gpt-3.5-turbo

    key terms related to central concepts or foundational ideas

    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
    thur
    -0.83
    orders
    -0.80
    nery
    -0.78
    opes
    -0.77
    oping
    -0.75
    apist
    -0.74
    atures
    -0.73
    ivan
    -0.73
    imar
    -0.70
    obar
    -0.70
    POSITIVE LOGITS
    xual
    0.90
    stones
    0.85
    tenance
    0.77
    CRIP
    0.73
    stone
    0.73
     cornerstone
    0.68
     enshr
    0.67
    ARGET
    0.66
    Marginal
    0.64
    BALL
    0.63
    Activations Density 0.021%

    No Known Activations