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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. 6-RES-JB
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    Explanations

    mentions of a sports team named "Eagles" in a context related to various activities and events

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the term "Eagles" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    itionally
    -0.67
    adies
    -0.64
    hips
    -0.64
     Miranda
    -0.63
     nostalg
    -0.63
    imir
    -0.62
    AMI
    -0.62
     redistributed
    -0.62
     istg
    -0.62
    icity
    -0.61
    POSITIVE LOGITS
    agles
    1.01
    sburg
    0.77
    horn
    0.75
    phant
    0.74
    phal
    0.71
     Eagles
    0.69
     Scout
    0.69
    asure
    0.68
    lection
    0.67
    chant
    0.67
    Activations Density 0.018%

    No Known Activations