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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. 22067
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    Explanations

    phrases related to overcoming obstacles or progressing through challenges

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to navigating or progressing through challenges or situations

    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
    uster
    -0.74
    icio
    -0.71
    ynski
    -0.67
    usters
    -0.67
    ropolitan
    -0.66
    aples
    -0.66
    etheus
    -0.66
    noxious
    -0.64
    lict
    -0.64
    tein
    -0.63
    POSITIVE LOGITS
    fare
    1.13
    finding
    0.93
    ward
    0.89
    WARD
    0.76
    point
    0.75
    finder
    0.74
     toward
    0.73
    seeing
    0.69
    points
    0.68
    ood
    0.68
    Activations Density 0.027%

    No Known Activations