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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. 3-RES-JB
    11. 12508
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    Explanations

    mentions of personal experiences and interactions with specific individuals

    oai_token-act-pair · gpt-3.5-turbo

    expressions of personal experiences and emotions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Beir
    -0.52
    uese
    -0.48
    ridor
    -0.43
     abolished
    -0.43
     respectively
    -0.42
     eleph
    -0.42
    emale
    -0.41
     Mub
    -0.41
    enegger
    -0.40
     overseen
    -0.40
    POSITIVE LOGITS
     :)
    0.49
     overs
    0.46
     shitty
    0.46
     kinda
    0.46
     myself
    0.45
    natureconservancy
    0.45
    canon
    0.45
    rez
    0.45
     haha
    0.45
     REALLY
    0.44
    Activations Density 4.355%

    No Known Activations