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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. 2073
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    Explanations

    references to a specific entity or brand named "Reason."

    oai_token-act-pair · gpt-3.5-turbo

    the occurrences of the word "Reason" indicating the importance or justification of statements

    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
    ibaba
    -0.76
    omez
    -0.74
    borg
    -0.65
     stocking
    -0.64
    yss
    -0.64
    uckland
    -0.64
     Watt
    -0.63
    annis
    -0.62
    avorite
    -0.61
     Lans
    -0.61
    POSITIVE LOGITS
    abl
    1.07
     why
    0.89
    ably
    0.87
    fare
    0.76
    reason
    0.75
    ¿½
    0.75
    ocracy
    0.75
    >]
    0.74
    åĭ
    0.72
    why
    0.71
    Activations Density 0.026%

    No Known Activations