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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. 9-RES-JB
    11. 22681
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    INDEX
    Explanations

    social media-related actions, such as following and subscribing

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to following and engaging with social media content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    furt
    -0.80
    way
    -0.68
    uction
    -0.68
    aez
    -0.67
    ãĥ¯ãĥ³
    -0.66
    Marginal
    -0.63
    uras
    -0.61
    ographic
    -0.61
    ario
    -0.60
    ylum
    -0.59
    POSITIVE LOGITS
     @
    0.93
     us
    0.92
     hasht
    0.83
     them
    0.83
     him
    0.80
     volunte
    0.73
     hashtag
    0.70
    @
    0.69
     subscribing
    0.67
    Subscribe
    0.67
    Activations Density 0.098%

    No Known Activations