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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. 4-RES-JB
    11. 16920
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    Explanations

    mentions of extensive coverage or investigation

    oai_token-act-pair · gpt-3.5-turbo

    the term "extensive" and its variations, indicating a focus on thoroughness or comprehensiveness in various contexts

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

    No Comments

    Negative Logits
    emb
    -0.70
    leader
    -0.68
    Earth
    -0.67
    Frames
    -0.66
    acus
    -0.65
    opter
    -0.64
    opers
    -0.63
    pal
    -0.63
    lua
    -0.62
    instead
    -0.62
    POSITIVE LOGITS
     amounts
    0.93
    mble
    0.87
     enough
    0.75
     thorough
    0.74
     extensive
    0.74
    ãĤ£
    0.73
     quantities
    0.72
    issance
    0.71
    ãĤ¼ãĤ¦ãĤ¹
    0.70
     coverage
    0.69
    Activations Density 0.012%

    No Known Activations