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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. 22758
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    Explanations

    phrases indicating a statement or characterization by a person or group

    oai_token-act-pair · gpt-3.5-turbo

    mentions of subjective statements and opinions related to claims and allegations

    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
     Fishing
    -0.64
     Supply
    -0.63
    ++++
    -0.62
     Alive
    -0.59
     Bounty
    -0.58
     attRot
    -0.58
     Fisher
    -0.57
     Screw
    -0.57
     refresh
    -0.56
    hang
    -0.56
    POSITIVE LOGITS
     termed
    1.37
     dubbed
    1.17
     deems
    1.11
     deemed
    1.02
     deem
    1.01
     likened
    1.01
     euphem
    0.99
     called
    0.98
     dub
    0.96
    called
    0.95
    Activations Density 0.129%

    No Known Activations