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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. 1020
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    Explanations

    phrases or sentences indicating a general or unspecified reference

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating uncertainty or ambiguity

    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
    eworthy
    -0.67
    livious
    -0.65
    undown
    -0.63
    without
    -0.62
     appre
    -0.61
    TPPStreamerBot
    -0.61
    aza
    -0.59
    emphasis
    -0.59
    cffff
    -0.59
    seless
    -0.58
    POSITIVE LOGITS
     may
    0.94
    pires
    0.86
     decides
    0.80
     chooses
    0.79
     decide
    0.78
     might
    0.77
     whatsoever
    0.69
     MAY
    0.68
    might
    0.66
     or
    0.66
    Activations Density 0.221%

    No Known Activations