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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. 4-RES-JB
    11. 16361
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    Explanations

    words related to organizations and their activities, such as "organization", "announced", "competitive", "offseason", and "president"

    oai_token-act-pair · gpt-3.5-turbo

    references to organizations

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

    No Comments

    Negative Logits
    dos
    -0.73
    ault
    -0.71
     Lanka
    -0.70
    kowski
    -0.68
    ths
    -0.67
    fet
    -0.67
    gar
    -0.66
    stroke
    -0.66
    ixed
    -0.66
    worth
    -0.62
    POSITIVE LOGITS
    eers
    0.98
    ally
    0.94
    eering
    0.92
    ality
    0.88
    atem
    0.87
     organization
    0.84
     disbanded
    0.83
    arily
    0.83
     affili
    0.80
     organisation
    0.77
    Activations Density 0.024%

    No Known Activations