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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. 8739
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    Explanations

    words related to challenging situations or obstacles

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to struggles or challenges

    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
    ATURE
    -0.87
    atory
    -0.79
    ulet
    -0.77
    atories
    -0.75
    http
    -0.74
    netflix
    -0.72
    AU
    -0.70
    ury
    -0.69
    ural
    -0.68
    ule
    -0.68
    POSITIVE LOGITS
    stairs
    0.92
     uphill
    0.90
     slope
    0.84
     hill
    0.82
     slopes
    0.81
    keyes
    0.81
     adolesc
    0.79
     stair
    0.77
     unden
    0.75
     stairs
    0.74
    Activations Density 0.007%

    No Known Activations