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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. 7-RES-JB
    11. 12485
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    Explanations

    phrases expressing dissatisfaction or strong emotion about a specific situation

    oai_token-act-pair · gpt-3.5-turbo

    statements expressing disappointment or criticism

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aukee
    -0.72
    iHUD
    -0.67
    orage
    -0.66
    ailability
    -0.64
    kamp
    -0.64
    zman
    -0.64
     pione
    -0.62
    ãĥ¼ãĤ¯
    -0.61
     fide
    -0.61
    ead
    -0.61
    POSITIVE LOGITS
    soever
    0.70
     they
    0.69
    chers
    0.68
     exists
    0.67
     someone
    0.67
    someone
    0.67
     nobody
    0.66
     we
    0.66
     arose
    0.65
     despite
    0.64
    Activations Density 0.099%

    No Known Activations