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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. 6145
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    Explanations

    words related to challenges and obstacles

    oai_token-act-pair · gpt-3.5-turbo

    references to challenges or obstacles in various contexts

    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
    ovies
    -0.72
    ahon
    -0.71
     GEAR
    -0.68
    otide
    -0.67
    arbon
    -0.62
    endar
    -0.61
    odes
    -0.59
    tarian
    -0.59
    ator
    -0.58
    riter
    -0.58
    POSITIVE LOGITS
     posed
    0.90
    ioned
    0.85
     challenge
    0.82
     facing
    0.78
     confronting
    0.77
    staking
    0.75
    chall
    0.74
     challenging
    0.72
    claw
    0.72
    ingly
    0.71
    Activations Density 0.021%

    No Known Activations