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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. 12850
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    INDEX
    Explanations

    phrases related to judgement or evaluation, often with a negative connotation

    oai_token-act-pair · gpt-3.5-turbo

    punctuation, specifically commas

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
     guiActiveUnfocused
    -0.76
    estern
    -0.65
    FTWARE
    -0.64
    zag
    -0.64
    roup
    -0.63
    ONSORED
    -0.61
    anking
    -0.60
     Balanced
    -0.60
    caster
    -0.59
    LOAD
    -0.59
    POSITIVE LOGITS
     unsurprisingly
    1.20
     alas
    1.18
     understandably
    1.14
     unfortunately
    1.07
     nevertheless
    1.06
     indeed
    1.04
     moreover
    1.04
     ironically
    1.03
     sadly
    1.02
     thankfully
    1.02
    Activations Density 0.076%

    No Known Activations