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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. 7-RES-JB
    11. 7443
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    Explanations

    phrases related to physical climbing activities

    oai_token-act-pair · gpt-3.5-turbo

    references to climbing activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Hart
    -0.77
    rums
    -0.76
    ãĥĨãĤ£
    -0.72
    iveness
    -0.70
    invoke
    -0.67
    rum
    -0.66
    ãĥĩãĤ£
    -0.66
    Percent
    -0.65
    gren
    -0.65
    tering
    -0.65
    POSITIVE LOGITS
     Everest
    1.05
     footh
    0.96
     stairs
    0.95
     climbing
    0.91
     climbers
    0.89
     ladder
    0.89
     aboard
    0.85
     climb
    0.85
     ascent
    0.81
     climbs
    0.79
    Activations Density 0.056%

    No Known Activations