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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. 0-RES-JB
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    Explanations

    expressions related to gratitude

    oai_token-act-pair · gpt-3.5-turbo

    references to attitudes or expressions of gratitude

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     toxin
    -0.63
     king
    -0.60
     queen
    -0.59
     corp
    -0.58
     hook
    -0.57
     proof
    -0.57
     special
    -0.56
     builder
    -0.56
     clean
    -0.55
     crown
    -0.55
    POSITIVE LOGITS
    itudes
    4.90
    itude
    3.13
    itud
    2.66
    itudinal
    2.37
    nesses
    1.16
    ivities
    1.13
    ieties
    1.11
    iments
    1.06
    iences
    1.05
    ibilities
    1.03
    Activations Density 0.010%

    No Known Activations