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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. 10886
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    Explanations

    text related to sports and team efforts

    oai_token-act-pair · gpt-3.5-turbo

    expressions of effort and determination in achieving goals

    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
    uphem
    -0.69
    Requires
    -0.67
     Britons
    -0.66
     censored
    -0.66
     cens
    -0.65
     libertarians
    -0.65
     surveyed
    -0.64
    utterstock
    -0.63
    Ord
    -0.62
    *:
    -0.62
    POSITIVE LOGITS
     teammates
    1.12
     offensively
    1.03
     coaching
    1.02
     championships
    1.02
     athlet
    1.02
     adversity
    1.01
     teammate
    0.98
    Coach
    0.95
     sacrific
    0.94
     defensively
    0.91
    Activations Density 0.593%

    No Known Activations