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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. 15663
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    Explanations

    keywords related to a specific type of fiber or thread

    oai_token-act-pair · gpt-3.5-turbo

    terms related to filtering or filtration processes

    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
    anwhile
    -0.89
    ONES
    -0.74
    FUL
    -0.73
     Pax
    -0.68
     buckle
    -0.68
     Lans
    -0.66
    ãĥĦ
    -0.65
    ellen
    -0.65
    PsyNetMessage
    -0.64
    bley
    -0.62
    POSITIVE LOGITS
    igree
    1.01
     fil
    1.01
    aments
    0.96
    tered
    0.96
    ters
    0.96
    teenth
    0.95
    eno
    0.91
    terness
    0.87
    umbers
    0.85
    gins
    0.84
    Activations Density 0.008%

    No Known Activations