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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. 15637
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    Explanations

    numerical percentages

    oai_token-act-pair · gpt-3.5-turbo

    percentages in the context of measurements or statistics

    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
    pecially
    -0.85
     showc
    -0.73
     lett
    -0.73
     therap
    -0.71
     thous
    -0.70
     compan
    -0.69
    etr
    -0.68
     neighb
    -0.66
     grain
    -0.66
    rament
    -0.66
    POSITIVE LOGITS
    -+
    0.79
    steamapps
    0.75
     ABV
    0.74
    ³³³³
    0.71
     Decay
    0.69
    /-
    0.68
    \.
    0.66
     FTP
    0.64
     opacity
    0.64
    !/
    0.63
    Activations Density 0.040%

    No Known Activations