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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. 12-RES-JB
    11. 3161
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    Explanations

    prepositions followed by definitive articles

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    phrases that reference action or position within a context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aqu
    -0.72
    ilial
    -0.69
    illac
    -0.66
    isal
    -0.64
    anon
    -0.64
    ista
    -0.63
    isure
    -0.63
    olson
    -0.62
    llular
    -0.62
    rio
    -0.62
    POSITIVE LOGITS
     hers
    0.75
     pies
    0.73
     sand
    0.68
     necks
    0.66
     challeng
    0.65
     pillow
    0.62
     levers
    0.61
    itiz
    0.61
     Sand
    0.61
     theirs
    0.60
    Activations Density 0.107%

    No Known Activations