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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. 1369
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    INDEX
    Explanations

    mentions of specific individuals or organizations, possibly related to news or politics

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the letter 'm'

    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
     pitch
    -0.69
     behav
    -0.65
     giveaway
    -0.62
    EStream
    -0.59
    Sham
    -0.59
     bruised
    -0.58
     tipped
    -0.58
     begg
    -0.58
     foul
    -0.56
     excerpts
    -0.56
    POSITIVE LOGITS
    ichael
    1.24
    otor
    1.22
    useum
    1.22
    obil
    1.21
    ortal
    1.20
    obiles
    1.20
    ortality
    1.14
    igration
    1.12
    otive
    1.11
    igrant
    1.11
    Activations Density 0.068%

    No Known Activations