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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. 10-RES-JB
    11. 22118
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    Explanations

    phrases related to work or employment

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the phrase "for" followed by numeric values

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iltr
    -0.73
     Accessed
    -0.72
    portation
    -0.71
    909
    -0.70
    pour
    -0.67
    assis
    -0.66
    949
    -0.64
    801
    -0.64
    urn
    -0.63
    ngth
    -0.63
    POSITIVE LOGITS
    geries
    1.11
     clients
    0.99
     awhile
    0.96
     hire
    0.96
    bidden
    0.88
     charity
    0.87
     years
    0.84
     decades
    0.83
     charities
    0.82
     purposes
    0.82
    Activations Density 0.167%

    No Known Activations