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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. 17850
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    Explanations

    phrases related to criticism or negativity

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "in."

    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
    IDE
    -0.68
    leep
    -0.65
    linger
    -0.64
    llor
    -0.61
    pedia
    -0.61
    MAP
    -0.60
    warning
    -0.60
    iden
    -0.59
    ALSE
    -0.59
    umes
    -0.59
    POSITIVE LOGITS
    effic
    1.54
     lieu
    1.34
    efficiency
    1.28
     spite
    1.23
    escap
    1.22
     accordance
    1.16
     terms
    1.16
    clusions
    1.16
    ordinate
    1.12
     relation
    1.10
    Activations Density 0.268%

    No Known Activations