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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. 10-RES-JB
    11. 1269
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to reports, studies, and statistical data

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Decay
    -0.72
    iotic
    -0.61
    tsy
    -0.61
     hopping
    -0.59
    iotics
    -0.57
     anyways
    -0.57
    unless
    -0.57
     forgetting
    -0.56
    iping
    -0.55
    cients
    -0.54
    POSITIVE LOGITS
     illustrates
    1.28
     involves
    1.27
     contains
    1.26
     depicts
    1.23
     indicates
    1.23
     includes
    1.23
     consists
    1.23
     consisted
    1.22
     provides
    1.20
     demonstrates
    1.18
    Activations Density 0.445%

    No Known Activations