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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. 9-RES-JB
    11. 23315
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    Explanations

    questions related to actions or observations

    oai_token-act-pair · gpt-3.5-turbo

    questions beginning with "why" or "how" that express curiosity or inquiry about various topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yssey
    -0.72
    iHUD
    -0.71
    orage
    -0.65
    orge
    -0.64
    aukee
    -0.64
    ibaba
    -0.63
    orthy
    -0.62
    Runner
    -0.61
    abase
    -0.58
    vantage
    -0.58
    POSITIVE LOGITS
    ?]
    0.89
    ?),
    0.80
    ?).
    0.75
    ?)
    0.74
     nobody
    0.74
    ?".
    0.73
    ?
    0.73
    ?:
    0.72
     so
    0.71
    !?
    0.70
    Activations Density 0.066%

    No Known Activations