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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. 2-RES-JB
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    Explanations

    words related to challenges or obstacles, particularly those involving difficulty or resistance

    oai_token-act-pair · gpt-3.5-turbo

    expressions of struggle or challenge, particularly those associated with "uphill battles."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ATURE
    -0.88
    AU
    -0.78
    ulet
    -0.78
    atory
    -0.74
    eer
    -0.72
    atories
    -0.72
    ment
    -0.71
    http
    -0.71
    ural
    -0.70
    Ring
    -0.70
    POSITIVE LOGITS
     uphill
    1.11
     adolesc
    0.96
     downhill
    0.87
     hill
    0.82
    keyes
    0.80
     slopes
    0.79
     unden
    0.78
     slope
    0.77
     stair
    0.77
    stairs
    0.76
    Activations Density 0.005%

    No Known Activations