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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. 4-RES-JB
    11. 12228
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    Explanations

    phrases related to location and events

    oai_token-act-pair · gpt-3.5-turbo

    the conjunction "and" in various contexts

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

    No Comments

    Negative Logits
    asper
    -0.66
    DX
    -0.63
    uta
    -0.62
    ---------
    -0.61
    emi
    -0.59
    1001
    -0.59
    HQ
    -0.59
     Unsure
    -0.58
    Times
    -0.58
    Ĭ±
    -0.57
    POSITIVE LOGITS
     consequently
    0.88
     thence
    0.84
     therefore
    0.83
     then
    0.79
     possibly
    0.77
     furthermore
    0.76
     secondly
    0.76
     preferably
    0.73
     thus
    0.73
     moreover
    0.72
    Activations Density 0.200%

    No Known Activations