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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. 12678
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    Explanations

    words related to steepness or intensity

    oai_token-act-pair · gpt-3.5-turbo

    the word "steep" and its derivatives, indicating a focus on significant challenges or difficulties

    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
     Machina
    -0.74
    imester
    -0.74
    ignty
    -0.73
    aurus
    -0.71
    phis
    -0.71
     Veter
    -0.69
    uter
    -0.66
    avez
    -0.65
     SPORTS
    -0.64
     Smy
    -0.63
    POSITIVE LOGITS
    ly
    0.92
     steep
    0.89
     gradient
    0.86
    ened
    0.85
     ascent
    0.84
     slopes
    0.83
     slope
    0.83
    edIn
    0.80
     elevation
    0.79
     climbs
    0.79
    Activations Density 0.011%

    No Known Activations