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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. 17103
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    Explanations

    titles or descriptions related to individuals and their professions

    oai_token-act-pair · gpt-3.5-turbo

    words related to military and veteran status

    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
    adders
    -0.75
    ouls
    -0.70
    sers
    -0.70
    okers
    -0.66
    Score
    -0.64
    Xi
    -0.64
    apo
    -0.63
    acters
    -0.63
    Size
    -0.63
    erity
    -0.62
    POSITIVE LOGITS
     specializing
    1.06
     extraord
    0.98
    Joined
    0.90
     whose
    0.90
     who
    0.74
     studying
    0.74
     testified
    0.74
    ess
    0.73
     educator
    0.71
     adjunct
    0.71
    Activations Density 0.265%

    No Known Activations