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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. 8-RES-JB
    11. 9918
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    Explanations

    terms related to work activities and events

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to operational processes and staffing in a business context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     whilst
    -1.09
     Whilst
    -0.99
     realise
    -0.96
     recognise
    -0.91
    !".
    -0.86
    ?".
    -0.85
    ".[
    -0.85
    ´
    -0.84
    ".
    -0.83
     learnt
    -0.82
    POSITIVE LOGITS
     POLITICO
    0.88
     nonprofits
    0.75
     Whitman
    0.73
     Palo
    0.68
     Southwest
    0.68
     Fiorina
    0.67
     statewide
    0.66
     Maryland
    0.66
     Massachusetts
    0.65
     Arlington
    0.65
    Activations Density 2.792%

    No Known Activations