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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. 16255
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    Explanations

    descriptions of physical actions and settings, particularly related to movement

    oai_token-act-pair · gpt-3.5-turbo

    key actions and events occurring in a narrative context

    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
    Additionally
    -0.81
    Specifically
    -0.81
    Regarding
    -0.78
     stating
    -0.77
     Regarding
    -0.75
     promoting
    -0.75
     utilizing
    -0.73
    Firstly
    -0.73
    arranted
    -0.72
    Currently
    -0.72
    POSITIVE LOGITS
     dusk
    0.85
     solitude
    0.84
     strangers
    0.81
    ustomed
    0.78
     mornings
    0.77
     stares
    0.74
     downstairs
    0.74
     passers
    0.71
     roar
    0.71
     adolescence
    0.70
    Activations Density 1.644%

    No Known Activations