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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. 536
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    Explanations

    verbs related to actions unraveling or deciphering something

    oai_token-act-pair · gpt-3.5-turbo

    words related to revealing or solving complexities

    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
    eworld
    -0.61
    FORE
    -0.60
    --+
    -0.60
    gged
    -0.59
     reserved
    -0.58
     Fo
    -0.58
    eral
    -0.57
     Zam
    -0.56
    âĢij
    -0.56
    cium
    -0.55
    POSITIVE LOGITS
    edIn
    1.03
     unravel
    0.96
    ing
    0.92
    ĸļ
    0.80
    lement
    0.79
    ed
    0.78
    eering
    0.76
    schild
    0.75
    icter
    0.75
    stakes
    0.74
    Activations Density 0.015%

    No Known Activations