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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. 4396
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    INDEX
    Explanations

    phrases indicating a strong positioning or fixation

    oai_token-act-pair · gpt-3.5-turbo

    strong verbs that convey certainty or decisiveness

    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
     Emin
    -0.86
    olan
    -0.76
     Journals
    -0.73
     Procedure
    -0.72
    OTOS
    -0.72
     tables
    -0.71
    EVA
    -0.70
    sites
    -0.68
    ebin
    -0.67
     Cosponsors
    -0.67
    POSITIVE LOGITS
     planted
    0.87
     cement
    0.87
     rooted
    0.85
     ens
    0.83
     entrenched
    0.82
    ãĤ©
    0.82
     positioned
    0.82
    lishes
    0.81
     anchored
    0.81
     conclud
    0.79
    Activations Density 0.011%

    No Known Activations