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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. 0-RES-JB
    11. 23284
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    Explanations

    direct and straightforward language

    oai_token-act-pair · gpt-3.5-turbo

    words related to directness or candor in communication

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    meric
    -0.73
    regation
    -0.72
    brance
    -0.72
     Layout
    -0.72
     Holiday
    -0.68
    à¥
    -0.68
     Login
    -0.68
     Streaming
    -0.65
     Calendar
    -0.65
    ty
    -0.65
    POSITIVE LOGITS
     blunt
    3.81
     frank
    1.70
     scathing
    1.20
     abras
    1.17
     forceful
    1.16
     dull
    1.07
     dismissive
    1.05
     bluntly
    1.03
     succinct
    0.99
     outspoken
    0.98
    Activations Density 0.026%

    No Known Activations