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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. 9845
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    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the concept of time and its flexibility

    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
    ãĥ¥
    -0.80
    iar
    -0.76
    uctive
    -0.71
    riad
    -0.67
    uction
    -0.66
    uers
    -0.64
    UCT
    -0.64
    imilation
    -0.64
    orters
    -0.63
    atech
    -0.63
    POSITIVE LOGITS
     thereafter
    0.96
     imaginable
    0.92
     whatsoever
    0.86
    cale
    0.74
    brates
    0.73
     except
    0.71
    frames
    0.71
     periods
    0.70
     whim
    0.69
     practicable
    0.69
    Activations Density 0.028%

    No Known Activations