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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. 4-RES-JB
    11. 10803
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    Explanations

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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 @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     equivalents
    -0.77
     branches
    -0.64
     flights
    -0.63
     timelines
    -0.62
     costumes
    -0.60
     intest
    -0.59
    rants
    -0.58
    planes
    -0.58
     drawings
    -0.57
     incap
    -0.57
    POSITIVE LOGITS
    cca
    0.86
    ozy
    0.76
     undermin
    0.70
    -+-+
    0.70
     indu
    0.70
    ij士
    0.70
    ãĥ¼ãĥĨ
    0.69
     attracting
    0.68
    enstein
    0.68
     answ
    0.68
    Activations Density 0.589%

    No Known Activations