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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. 10-RES-JB
    11. 10184
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    Explanations

    adjectives related to high standards or qualities

    oai_token-act-pair · gpt-3.5-turbo

    adjectives describing moral qualities or conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     redes
    -0.82
     Hans
    -0.77
     territ
    -0.66
     stripping
    -0.64
     depos
    -0.62
     moons
    -0.61
     mum
    -0.60
     squads
    -0.59
     Reese
    -0.58
     gut
    -0.58
    POSITIVE LOGITS
    able
    2.60
    ably
    2.48
    ability
    2.13
    ables
    2.13
    ABLE
    1.84
    abilities
    1.73
    abl
    1.61
    ible
    1.53
    ibly
    1.53
    abil
    1.51
    Activations Density 0.097%

    No Known Activations