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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. 9-RES-JB
    11. 13816
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    Explanations

    noun phrases describing collections or structures composed of multiple elements

    oai_token-act-pair · gpt-3.5-turbo

    phrases that describe composition or make up of a subject

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    abad
    -0.71
    hawks
    -0.66
     rapport
    -0.59
    found
    -0.57
    acceptable
    -0.56
    Lear
    -0.55
     relevance
    -0.54
    Leaks
    -0.53
     visitation
    -0.53
    hound
    -0.52
    POSITIVE LOGITS
     chiefly
    0.96
     principally
    0.95
     primarily
    0.90
     mainly
    0.90
    encies
    0.89
     solely
    0.88
     thereof
    0.85
     exclusively
    0.84
     of
    0.84
     predominantly
    0.82
    Activations Density 0.056%

    No Known Activations