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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. 10-RES-JB
    11. 18890
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    INDEX
    Explanations

    adjectives describing qualities or characteristics

    oai_token-act-pair · gpt-3.5-turbo

    adjectives that describe either positive or negative qualities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lees
    -1.04
    ernels
    -0.99
    iddles
    -0.98
    stones
    -0.98
    ometers
    -0.97
    units
    -0.95
    verbs
    -0.93
    bots
    -0.87
    mods
    -0.87
    crim
    -0.86
    POSITIVE LOGITS
     affair
    1.15
     proposition
    1.10
     version
    1.07
     glimpse
    1.06
     approach
    1.05
     explanation
    1.00
     attempt
    1.00
     solution
    1.00
     excuse
    0.99
     manner
    0.99
    Activations Density 0.318%

    No Known Activations