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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. 7-RES-JB
    11. 10988
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    Explanations

    expressions of concern, critique, or particular opinions

    oai_token-act-pair · gpt-3.5-turbo

    expressions of concern, criticism, and fear about various topics or actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Himself
    -0.83
    OTUS
    -0.69
    sac
    -0.68
    ãĥīãĥ©ãĤ´ãĥ³
    -0.67
    xxxx
    -0.66
    EStreamFrame
    -0.66
    Anyway
    -0.65
    oult
    -0.64
    thia
    -0.64
    ciating
    -0.64
    POSITIVE LOGITS
     boycot
    0.72
     unfairly
    0.70
     millenn
    0.68
     unfair
    0.68
     undue
    0.64
     clam
    0.64
     spurious
    0.63
    tackle
    0.63
     boycott
    0.62
     louder
    0.62
    Activations Density 0.282%

    No Known Activations