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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. 4-RES-JB
    11. 9371
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    INDEX
    Explanations

    descriptions of things being favorable or unfavorable

    oai_token-act-pair · gpt-3.5-turbo

    terms related to favorable or positive evaluations

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

    No Comments

    Negative Logits
    hid
    -0.87
    grave
    -0.85
    bus
    -0.84
    lang
    -0.81
    opers
    -0.78
    prototype
    -0.76
    need
    -0.76
    ngth
    -0.75
    jack
    -0.75
    tub
    -0.75
    POSITIVE LOGITS
     favorable
    1.18
     matchups
    1.07
     favourable
    1.05
    avorable
    1.03
     unfavorable
    0.97
     conditions
    0.86
     publicity
    0.86
     ratings
    0.85
     matchup
    0.84
     favorably
    0.83
    Activations Density 0.020%

    No Known Activations