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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. 9-RES-JB
    11. 18227
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    Explanations

    important or significant events or entities

    oai_token-act-pair · gpt-3.5-turbo

    terms that indicate significance or scale, particularly related to events or occurrences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bots
    -0.83
     Machines
    -0.77
    abilities
    -0.72
    chairs
    -0.71
    utics
    -0.71
    always
    -0.70
    Gameplay
    -0.69
    alysis
    -0.69
    anners
    -0.69
    clips
    -0.69
    POSITIVE LOGITS
     installment
    1.20
     hurdle
    1.17
     iteration
    1.16
     foray
    1.15
     outing
    1.13
     piece
    1.08
     contender
    1.07
     incarnation
    1.04
     avenue
    1.01
     manifestation
    1.01
    Activations Density 0.256%

    No Known Activations