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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. 8-RES-JB
    11. 6118
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    Explanations

    future events or plans

    oai_token-act-pair · gpt-3.5-turbo

    the word "be" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     sqor
    -0.74
     Stain
    -0.66
    pedia
    -0.66
     Moose
    -0.65
    vas
    -0.64
     partName
    -0.63
    oso
    -0.61
     Hes
    -0.61
     Newspaper
    -0.61
     Lines
    -0.60
    POSITIVE LOGITS
     replaced
    1.06
     able
    0.96
    heading
    0.96
     evaluated
    0.95
    ige
    0.95
     considered
    0.92
     judged
    0.92
     released
    0.92
     seen
    0.90
     phased
    0.88
    Activations Density 0.072%

    No Known Activations