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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    the term "Major League"

    oai_token-act-pair · gpt-3.5-turbo

    references to Major League sports

    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
    romeda
    -0.86
     Vaugh
    -0.74
    ILLE
    -0.74
    perate
    -0.71
     damned
    -0.68
    *)
    -0.66
    brates
    -0.65
    env
    -0.64
    fm
    -0.64
    ardless
    -0.63
    POSITIVE LOGITS
    itized
    0.82
     depressive
    0.78
     League
    0.71
    olition
    0.71
    Major
    0.69
    minster
    0.69
    noon
    0.68
     tournaments
    0.66
     sshd
    0.65
    olla
    0.65
    Activations Density 0.010%

    No Known Activations