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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. 17797
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    INDEX
    Explanations

    professions and job titles

    oai_token-act-pair · gpt-3.5-turbo

    references to various professional roles and occupations

    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
     VIDEOS
    -0.74
    eele
    -0.72
     equation
    -0.64
    inventoryQuantity
    -0.63
     inconsistency
    -0.63
    Operation
    -0.61
     hints
    -0.60
     Nightmares
    -0.59
    SIZE
    -0.59
     amplification
    -0.59
    POSITIVE LOGITS
     who
    1.24
    folk
    1.24
     whom
    1.09
    ervatives
    1.03
    hips
    1.02
     alike
    1.01
    hip
    1.01
    who
    1.00
     whose
    0.99
     specializing
    0.96
    Activations Density 0.330%

    No Known Activations