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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. 5342
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    INDEX
    Explanations

    positive and negative judgments or opinions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to favorable evaluations or assessments

    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
    hid
    -0.86
    bus
    -0.79
    lang
    -0.78
    grave
    -0.78
    jack
    -0.78
    opers
    -0.78
    hod
    -0.75
    iq
    -0.75
    tre
    -0.73
    âĵĺ
    -0.73
    POSITIVE LOGITS
     favorable
    1.21
     favourable
    1.11
    avorable
    1.06
     matchups
    1.02
     unfavorable
    0.97
     agre
    0.90
     conditions
    0.86
     favorably
    0.84
     publicity
    0.84
     matchup
    0.84
    Activations Density 0.014%

    No Known Activations