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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. 9342
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    Explanations

    occupations or roles within a community

    oai_token-act-pair · gpt-3.5-turbo

    words related to various professions and roles in society

    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
    izoph
    -0.72
    quickShipAvailable
    -0.68
    ENGTH
    -0.67
    rawdownloadcloneembedreportprint
    -0.64
    MN
    -0.64
    border
    -0.63
    ahime
    -0.61
    yip
    -0.61
    doi
    -0.61
    Reloaded
    -0.60
    POSITIVE LOGITS
     extraord
    0.94
    esses
    0.86
     beware
    0.81
    ess
    0.74
     who
    0.67
    culosis
    0.66
    rors
    0.66
     unions
    0.64
     rejoice
    0.64
    otomy
    0.63
    Activations Density 0.257%

    No Known Activations