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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. 6-RES-JB
    11. 2955
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    Explanations

    mentions of particular events or occurrences involving multiple people

    oai_token-act-pair · gpt-3.5-turbo

    commas in sentences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥ¥
    -0.66
    ARCH
    -0.63
     ',
    -0.61
    rid
    -0.61
    quest
    -0.61
    oir
    -0.60
    ore
    -0.60
    isi
    -0.59
    Availability
    -0.58
    irection
    -0.58
    POSITIVE LOGITS
    }"
    0.75
     including
    0.71
    eatures
    0.65
     fined
    0.64
     flourished
    0.64
     denies
    0.64
    requires
    0.63
     paused
    0.63
     teaches
    0.62
     urged
    0.62
    Activations Density 0.284%

    No Known Activations