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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. 3-RES-JB
    11. 6988
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    Explanations

    adjectives or phrases that describe attributes or qualities

    oai_token-act-pair · gpt-3.5-turbo

    adjectives and descriptors that convey a sense of evaluation or judgment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     scanned
    -0.70
     manually
    -0.68
     ASAP
    -0.67
     CODE
    -0.66
     Surv
    -0.62
     repaired
    -0.61
    OTOS
    -0.61
     servicing
    -0.61
     Annotations
    -0.60
     DATA
    -0.60
    POSITIVE LOGITS
    itarian
    0.85
     partisans
    0.82
    ingly
    0.81
    emonic
    0.79
    itud
    0.77
    hearted
    0.76
    itar
    0.75
     rhetorical
    0.74
     cynicism
    0.74
    iously
    0.73
    Activations Density 0.871%

    No Known Activations