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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. 11-RES-JB
    11. 14520
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    Explanations

    adjectives and nouns related to fundamental concepts or principles

    oai_token-act-pair · gpt-3.5-turbo

    references to fundamental concepts or issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ensen
    -0.74
     Leone
    -0.74
    fing
    -0.72
    helm
    -0.70
     Referred
    -0.69
    bowl
    -0.68
    acent
    -0.68
     mouths
    -0.67
    eret
    -0.66
    hots
    -0.65
    POSITIVE LOGITS
     misunderstanding
    1.11
    ists
    1.09
     flaw
    1.08
     flaws
    1.05
    ism
    1.02
    ist
    1.02
     contradictions
    1.01
     differences
    0.98
     fairness
    0.97
     misunderstand
    0.96
    Activations Density 0.076%

    No Known Activations