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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. 9428
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    Explanations

    phrases related to actions or events that have significant consequences

    oai_token-act-pair · gpt-3.5-turbo

    segments of text that are completely empty or lack substantial content

    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
    Edit
    -0.69
    Contents
    -0.67
     Jagu
    -0.65
    Events
    -0.62
    Att
    -0.61
    Catal
    -0.59
    tests
    -0.59
    Hon
    -0.58
    âĿ
    -0.58
    ESPN
    -0.58
    POSITIVE LOGITS
     lot
    1.04
     bunch
    1.00
    rouse
    0.93
     plethora
    0.92
     handful
    0.92
     few
    0.88
     couple
    0.86
     huge
    0.86
     sizeable
    0.85
     piece
    0.84
    Activations Density 0.931%

    No Known Activations