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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. 3925
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    Explanations

    names and titles related to media analysis

    oai_token-act-pair · gpt-3.5-turbo

    sections of text that provide analysis, commentary, or conclusions

    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
    represented
    -0.73
    hips
    -0.69
    handle
    -0.68
    rop
    -0.67
    âĹ¼
    -0.64
     reimb
    -0.64
    rice
    -0.63
    STEM
    -0.63
    EMA
    -0.62
    population
    -0.60
    POSITIVE LOGITS
    Analysis
    0.92
    -+-+
    0.84
     Analysis
    0.75
     Interpret
    0.72
     Questions
    0.70
    notations
    0.69
     GOODMAN
    0.68
    ertodd
    0.68
     Thoughts
    0.68
     Picks
    0.67
    Activations Density 0.065%

    No Known Activations