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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. 20690
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    INDEX
    Explanations

    situations or events resulting in various outcomes or repercussions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to cause-and-effect relationships

    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
    soever
    -0.80
    tes
    -0.73
    gravity
    -0.72
    arte
    -0.69
    orate
    -0.68
    é¾įå¥ij士
    -0.67
    VIS
    -0.67
    enery
    -0.65
    pires
    -0.64
    atech
    -0.63
    POSITIVE LOGITS
     downfall
    1.07
     paralysis
    0.90
     breakdown
    0.89
     deaths
    0.89
     deterioration
    0.88
     conclusion
    0.88
     arrests
    0.88
     eventual
    0.86
     demise
    0.86
     lasting
    0.86
    Activations Density 0.329%

    No Known Activations