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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. 6-RES-JB
    11. 2901
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    INDEX
    Explanations

    descriptions of potential outcomes or possibilities

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to potential outcomes or predictions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    displayText
    -0.63
    ĸļ
    -0.56
    @#&
    -0.52
    ogie
    -0.49
     sanitation
    -0.48
    ãĤ«
    -0.48
    sels
    -0.47
     Bless
    -0.46
    EH
    -0.46
    Reply
    -0.45
    POSITIVE LOGITS
     someday
    1.18
     sooner
    0.82
     somew
    0.78
     anytime
    0.72
    ivably
    0.72
     sometime
    0.71
     depending
    0.71
    depending
    0.70
     tomorrow
    0.67
     rethink
    0.66
    Activations Density 1.862%

    No Known Activations