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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. 3-RES-JB
    11. 21088
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    Explanations

    phrases containing proper names or specific terms like "Cheltenham", "Dahmer", and "subterranean"

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and names associated with specific entities, locations, or characters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    imately
    -0.81
    ALLY
    -0.78
     pregn
    -0.72
     Investor
    -0.70
    enhagen
    -0.67
    arson
    -0.66
    lev
    -0.65
    éĹĺ
    -0.65
     curing
    -0.65
    ossession
    -0.65
    POSITIVE LOGITS
     Chel
    0.82
    ding
    0.78
    stals
    0.76
    Chel
    0.72
    bone
    0.72
     Dah
    0.71
    lov
    0.71
    slave
    0.69
    awks
    0.67
     motif
    0.67
    Activations Density 0.033%

    No Known Activations