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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. 4-RES-JB
    11. 10651
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    Explanations

    mentions of upcoming or forthcoming events or things

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "coming" in various contexts

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

    No Comments

    Negative Logits
    raq
    -0.92
    sett
    -0.80
    wart
    -0.79
    nington
    -0.76
    picking
    -0.76
    arg
    -0.75
    vet
    -0.74
    ARS
    -0.74
    acca
    -0.73
    rest
    -0.73
    POSITIVE LOGITS
     attractions
    0.94
    bies
    0.78
     Releases
    0.73
     Showdown
    0.73
     Directions
    0.73
    ãĤĬ
    0.71
     Neigh
    0.71
     FEC
    0.69
     engagements
    0.69
     Ones
    0.68
    Activations Density 0.011%

    No Known Activations