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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. 10-RES-JB
    11. 23276
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    Explanations

    phrases related to evaluations or judgments on a given subject

    oai_token-act-pair · gpt-3.5-turbo

    statements of judgment or perception about various subjects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inas
    -0.81
    LET
    -0.71
    ciating
    -0.69
    essions
    -0.67
    eries
    -0.67
    milo
    -0.67
    ulla
    -0.67
    ierre
    -0.66
    mouth
    -0.65
    ijn
    -0.65
    POSITIVE LOGITS
     taboo
    0.95
     acceptable
    0.94
     worthy
    0.94
     unworthy
    0.93
     trustworthy
    0.91
     advisable
    0.91
     unreliable
    0.90
     ausp
    0.90
     unsafe
    0.89
     infall
    0.89
    Activations Density 0.056%

    No Known Activations