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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. 8-RES-JB
    11. 20112
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    Explanations

    words related to communication and conveying messages efficiently

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to communication and conveying messages

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Skydragon
    -0.83
    chens
    -0.73
    laus
    -0.64
     Nanto
    -0.64
     Leone
    -0.59
    anwhile
    -0.59
    atis
    -0.59
    ansas
    -0.59
    anova
    -0.57
     appendix
    -0.57
    POSITIVE LOGITS
     conveyed
    0.94
    plain
    0.84
    tale
    0.83
    iveness
    0.83
    ively
    0.82
    ible
    0.82
    eret
    0.80
    ience
    0.74
    orld
    0.74
    achment
    0.73
    Activations Density 0.063%

    No Known Activations