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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. 7454
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    Explanations

    text related to theories or ideas proposed by scholars or thinkers

    oai_token-act-pair · gpt-3.5-turbo

    theories and hypotheses related to various subjects

    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
    ĸļ
    -0.85
    Campaign
    -0.78
    rir
    -0.75
    gie
    -0.74
    rawdownloadcloneembedreportprint
    -0.73
    phony
    -0.69
    nant
    -0.69
    Dear
    -0.69
    boro
    -0.65
    ãģį
    -0.65
    POSITIVE LOGITS
     peg
    0.82
     dwarves
    0.72
     elves
    0.71
     hypothes
    0.70
     mages
    0.67
    uces
    0.67
     interpretation
    0.66
     runes
    0.66
     witches
    0.65
     interpre
    0.64
    Activations Density 0.272%

    No Known Activations