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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. 13390
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    Explanations

    words related to criticisms or critiques

    oai_token-act-pair · gpt-3.5-turbo

    words related to critical or negative commentary

    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
    DragonMagazine
    -0.84
    姫
    -0.83
    lihood
    -0.77
    EMENT
    -0.75
    IELD
    -0.75
     Zucker
    -0.70
    Materials
    -0.70
     Dragonbound
    -0.68
     Wildcats
    -0.68
     Sabha
    -0.68
    POSITIVE LOGITS
    umb
    1.15
    umbled
    1.09
    umbs
    1.07
    umin
    1.01
    udging
    0.99
    ump
    0.98
    umbles
    0.95
    anium
    0.95
    amps
    0.94
    ud
    0.94
    Activations Density 0.010%

    No Known Activations