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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 22799
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    Explanations

    mentions of collaboration or partnership between individuals or entities

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "at" followed by various entities or organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    FTWARE
    -0.69
    git
    -0.67
    sett
    -0.67
     WRITE
    -0.67
    HTTP
    -0.66
    Ti
    -0.64
    uminium
    -0.64
    Russ
    -0.64
    finished
    -0.64
    alpha
    -0.64
    POSITIVE LOGITS
     least
    1.14
    abase
    1.05
    onement
    0.84
    yp
    0.80
    roph
    0.78
     home
    0.75
     liberty
    0.73
     logger
    0.73
    oned
    0.71
     bay
    0.71
    Activations Density 0.215%

    No Known Activations