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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. 1-RES-JB
    11. 10410
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    INDEX
    Explanations

    phrases related to behaviors or inclinations

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a recurrent behavioral inclination

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mberg
    -0.83
    gur
    -0.80
    cutting
    -0.78
    hemat
    -0.75
    idden
    -0.74
    umm
    -0.74
    enic
    -0.74
    riel
    -0.73
    loo
    -0.71
    sung
    -0.70
    POSITIVE LOGITS
     tendency
    1.20
     tendencies
    1.06
     propensity
    0.96
     inconsistency
    0.92
     suscept
    0.82
     inference
    0.81
     aversion
    0.80
     inclination
    0.79
     predis
    0.79
     toward
    0.75
    Activations Density 0.008%

    No Known Activations