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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. 10-RES-JB
    11. 16480
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    INDEX
    Explanations

    positive and nurturing attributes or behaviors

    oai_token-act-pair · gpt-3.5-turbo

    adjectives and descriptors related to emotional and qualitative characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    é¾į
    -0.89
    anwhile
    -0.79
    osponsors
    -0.77
    channelAvailability
    -0.75
    é¾įå
    -0.72
    Vers
    -0.65
    Reloaded
    -0.64
    apper
    -0.63
    Ô
    -0.62
    orrow
    -0.62
    POSITIVE LOGITS
    ,
    0.96
    ,...
    0.84
    ,,
    0.71
     affair
    0.64
    -,
    0.63
    ,.
    0.61
    !,
    0.60
    istic
    0.60
    .,
    0.58
    ly
    0.58
    Activations Density 0.162%

    No Known Activations