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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. 3-RES-JB
    11. 12319
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    Explanations

    numerical values related to statistics or data

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and statistics related to votes or counts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    akening
    -0.90
    ItemTracker
    -0.86
    rolet
    -0.82
    »Ĵ
    -0.81
    Dispatch
    -0.78
    raints
    -0.75
    mble
    -0.75
    ĵĺ
    -0.74
    efficients
    -0.73
    ategory
    -0.72
    POSITIVE LOGITS
    rd
    1.06
    00
    0.95
    LECT
    0.82
    333
    0.79
    aan
    0.75
     ejac
    0.74
    ¯¯¯¯
    0.73
    RD
    0.71
    RF
    0.70
    VEL
    0.68
    Activations Density 0.024%

    No Known Activations