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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. 4420
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    INDEX
    Explanations

    names of individuals, possibly related to news or media

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals, particularly names

    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
    lisher
    -0.77
    mine
    -0.76
    furt
    -0.74
    lishes
    -0.71
    mits
    -0.69
    ressed
    -0.69
    rim
    -0.66
    boards
    -0.66
    inated
    -0.66
    riad
    -0.65
    POSITIVE LOGITS
    ichick
    0.90
     Vaughn
    0.86
     Slater
    0.85
    etsk
    0.81
    ertodd
    0.77
    @#&
    0.74
    laus
    0.71
    kowski
    0.71
    otiation
    0.69
     Goes
    0.68
    Activations Density 0.024%

    No Known Activations