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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. 2460
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    INDEX
    Explanations

    mentions of specific names or titles, especially related to technology or law

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names and terms related to specific people and places

    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
    -0.80
    eering
    -0.73
    winter
    -0.71
    blance
    -0.71
    ItemTracker
    -0.71
    vironment
    -0.70
    @#&
    -0.69
    rences
    -0.69
    mble
    -0.69
    schild
    -0.68
    POSITIVE LOGITS
    hiba
    1.62
    cano
    1.16
     Tos
    0.85
    aque
    0.78
    peria
    0.73
    eno
    0.73
    mos
    0.72
    creen
    0.72
    ijn
    0.70
    awar
    0.70
    Activations Density 0.021%

    No Known Activations