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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. 21189
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    Explanations

    facts or statements that are particularly important or noteworthy

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of the phrase "the fact" in various contexts

    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
    avorite
    -0.86
    wana
    -0.72
    airs
    -0.69
    itsch
    -0.69
    asca
    -0.66
    iverpool
    -0.63
    ESE
    -0.63
    artney
    -0.62
    annis
    -0.61
     livest
    -0.61
    POSITIVE LOGITS
    ually
    1.14
    uality
    1.13
    ional
    1.07
    orial
    1.02
    uate
    0.84
    itious
    0.81
    oids
    0.79
    uation
    0.78
    uated
    0.77
    uates
    0.75
    Activations Density 0.025%

    No Known Activations