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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. 6-RES-JB
    11. 16966
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lete
    -0.86
    dit
    -0.82
    gre
    -0.79
    leon
    -0.78
    tails
    -0.73
    letes
    -0.73
    ptic
    -0.71
    ggie
    -0.70
    hari
    -0.68
    tt
    -0.66
    POSITIVE LOGITS
    icity
    0.87
    ograms
    0.81
    ascus
    0.80
    ilion
    0.77
    obook
    0.75
    alysis
    0.74
    é¾į
    0.74
    ography
    0.72
    onymous
    0.71
    nikov
    0.70
    Activations Density 0.060%

    No Known Activations