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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. 0-RES-JB
    11. 1545
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    Explanations

    phrases referring to a specific group of people

    oai_token-act-pair · gpt-3.5-turbo

    references to groups of people or entities that require attention or assistance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    /.
    -0.66
    ista
    -0.66
    ensis
    -0.63
    ibble
    -0.63
    iber
    -0.62
    nee
    -0.61
    oin
    -0.60
    room
    -0.60
    iri
    -0.59
    buster
    -0.58
    POSITIVE LOGITS
     those
    2.78
    those
    2.50
    Those
    1.78
     Those
    1.76
     these
    1.41
     ones
    1.29
    these
    1.25
     them
    1.09
     theirs
    1.07
     THESE
    1.03
    Activations Density 0.047%

    No Known Activations