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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. 9-RES-JB
    11. 23441
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    Explanations

    keywords related to geographical locations

    oai_token-act-pair · gpt-3.5-turbo

    parentheses in numerical contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     retard
    -0.78
     gaze
    -0.78
     soaking
    -0.75
     hydrogen
    -0.75
     perme
    -0.72
     privileged
    -0.72
     accus
    -0.72
     corro
    -0.71
     bro
    -0.71
     overl
    -0.71
    POSITIVE LOGITS
    formerly
    1.36
    both
    1.32
    also
    1.31
    sic
    1.25
    again
    1.25
    same
    1.25
    feat
    1.25
    multiple
    1.23
    another
    1.22
    former
    1.21
    Activations Density 0.111%

    No Known Activations