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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. 1-RES-JB
    11. 22081
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    Explanations

    names of people/entities, particularly related to functions or positions

    oai_token-act-pair · gpt-3.5-turbo

    programming terms and specific notable names or subjects in a context related to events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yg
    -0.87
    yk
    -0.86
    paces
    -0.78
    Ü
    -0.76
    pad
    -0.76
    acles
    -0.75
    ington
    -0.73
    alus
    -0.72
    alon
    -0.72
    s
    -0.71
    POSITIVE LOGITS
     sidx
    0.77
     func
    0.76
     minion
    0.76
    esthetic
    0.74
    ummies
    0.68
     Klux
    0.67
    verend
    0.67
     minions
    0.67
    uld
    0.66
     Archdemon
    0.66
    Activations Density 0.027%

    No Known Activations