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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. 11-RES-JB
    11. 6100
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    Explanations

    phrases indicating a sequence of events or development over time

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to progression over time or leading events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oft
    -0.76
    tein
    -0.73
    ngth
    -0.69
    auga
    -0.62
    yip
    -0.59
    etsk
    -0.59
    mand
    -0.58
    pring
    -0.58
    peak
    -0.57
    of
    -0.57
    POSITIVE LOGITS
     Ruin
    0.62
    ended
    0.59
     bye
    0.56
    END
    0.54
     END
    0.53
     reprinted
    0.52
     ended
    0.51
    toggle
    0.51
    BR
    0.50
    BUS
    0.49
    Activations Density 0.267%

    No Known Activations