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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. 21091
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    Explanations

    phrases related to the sea or marine environments

    oai_token-act-pair · gpt-3.5-turbo

    terms related to seawater and marine environments

    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
    ioch
    -0.80
    Reloaded
    -0.68
     PowerPoint
    -0.63
    ACP
    -0.63
    Lens
    -0.62
     isEnabled
    -0.60
     CBI
    -0.60
     CPC
    -0.60
    uminati
    -0.60
    othal
    -0.59
    POSITIVE LOGITS
     seaw
    1.07
    orthy
    1.07
    eed
    1.02
    ards
    0.93
    eeds
    0.86
    apon
    0.83
    ater
    0.82
    orld
    0.80
    ide
    0.79
    eas
    0.78
    Activations Density 0.004%

    No Known Activations