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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. 8-RES-JB
    11. 10871
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    Explanations

    personal pronouns ('I', 'you', 'we') followed by verbs that involve physical actions or instructions

    oai_token-act-pair · gpt-3.5-turbo

    references to the pronouns "you" and "we," indicating a focus on direct address and collective experience

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mens
    -0.69
    oppers
    -0.67
    oval
    -0.66
    wr
    -0.61
    rupt
    -0.61
    abouts
    -0.60
    bats
    -0.60
    letters
    -0.58
    OX
    -0.58
    chy
    -0.58
    POSITIVE LOGITS
     progressed
    0.76
     progresses
    0.75
     mentioned
    0.74
     WATCHED
    0.73
     approached
    0.72
     pointed
    0.71
     alluded
    0.70
     recounted
    0.69
     stated
    0.69
     explained
    0.69
    Activations Density 0.085%

    No Known Activations