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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
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    Explanations

    references to computer programming syntax related to values

    oai_token-act-pair · gpt-3.5-turbo

    references to value assessments and valuation concepts

    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
     Eps
    -0.72
     suspensions
    -0.70
     drivers
    -0.70
     lif
    -0.69
     ey
    -0.67
     wake
    -0.64
     cups
    -0.63
     cracks
    -0.63
     bouts
    -0.63
     announced
    -0.63
    POSITIVE LOGITS
    value
    3.84
    values
    2.78
    Value
    1.96
    valued
    1.92
    VALUE
    1.55
    Values
    1.46
     value
    1.39
     Value
    1.36
    variable
    1.31
    attribute
    1.27
    Activations Density 0.015%

    No Known Activations