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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
    11. 22329
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    Explanations

    words related to difficulty or high incline

    oai_token-act-pair · gpt-3.5-turbo

    references to steepness or difficulty

    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
    aurus
    -0.71
    phis
    -0.70
    ignty
    -0.69
    imester
    -0.68
     SPORTS
    -0.68
    avez
    -0.65
     Sovere
    -0.64
     Machina
    -0.63
     Veter
    -0.63
    女
    -0.62
    POSITIVE LOGITS
     steep
    0.98
     slopes
    0.88
    ly
    0.86
     slope
    0.86
     gradient
    0.86
    ened
    0.84
    ness
    0.82
     ascent
    0.81
     climbs
    0.81
     elevation
    0.79
    Activations Density 0.007%

    No Known Activations