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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. 4784
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    INDEX
    Explanations

    phrases related to the purpose or goal of actions

    oai_token-act-pair · gpt-3.5-turbo

    references to intention or objectives

    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
    zing
    -0.72
    anova
    -0.68
    qi
    -0.65
    Rush
    -0.63
    lines
    -0.63
    Os
    -0.63
    anon
    -0.62
     drops
    -0.61
     Rising
    -0.59
    rising
    -0.58
    POSITIVE LOGITS
     purpose
    3.91
     Purpose
    2.63
    purpose
    2.23
     purposes
    2.20
     intent
    1.66
     reason
    1.58
     intention
    1.55
     aim
    1.51
     goal
    1.37
     sake
    1.35
    Activations Density 0.012%

    No Known Activations