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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. 16719
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    Explanations

    negative or extreme descriptive words

    oai_token-act-pair · gpt-3.5-turbo

    words that convey extreme or categorical descriptions

    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
    IDES
    -0.74
    onds
    -0.70
    aneers
    -0.70
    ©¶æ
    -0.69
    racuse
    -0.67
    »Ĵ
    -0.67
    hens
    -0.67
    ahs
    -0.66
    iler
    -0.65
    swer
    -0.65
    POSITIVE LOGITS
     enough
    1.24
     territory
    1.01
     fodder
    0.88
     shorthand
    0.88
     storytelling
    0.87
     insanity
    0.85
     nonsense
    0.85
     folly
    0.84
     vandalism
    0.82
     karma
    0.82
    Activations Density 0.367%

    No Known Activations