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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. 3-RES-JB
    11. 4759
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    Explanations

    phrases related to specific forms or types of attributes or entities

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "form" along with variations indicating different expressions or manifestations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ILLE
    -0.76
    EStreamFrame
    -0.73
     bark
    -0.68
     Predators
    -0.64
    Streamer
    -0.64
    ye
    -0.62
     Leone
    -0.60
     Watching
    -0.60
     VIDEOS
    -0.60
    itness
    -0.59
    POSITIVE LOGITS
    aldehyde
    1.38
    idable
    1.20
    forms
    1.00
    ulating
    0.94
    ulates
    0.93
    atted
    0.92
    furt
    0.92
    ulas
    0.90
    form
    0.89
    ulator
    0.87
    Activations Density 0.022%

    No Known Activations