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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. 0-RES-JB
    11. 2076
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    Explanations

    words or phrases related to fine details or intricacies

    oai_token-act-pair · gpt-3.5-turbo

    references to filtration, whether literal or metaphorical

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lands
    -0.81
    OTA
    -0.80
    assy
    -0.72
     Talks
    -0.71
    GS
    -0.70
     Archdemon
    -0.70
     Triangle
    -0.69
    apult
    -0.69
     Pact
    -0.68
     Doomsday
    -0.68
    POSITIVE LOGITS
     fil
    3.95
     Fil
    1.98
    fil
    1.97
    Fil
    1.72
     FIL
    1.63
    FIL
    1.41
     filament
    1.37
     filename
    1.19
     filthy
    1.13
     filters
    1.09
    Activations Density 0.015%

    No Known Activations