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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. 2-RES-JB
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    Explanations

    instances of the word "shot" with relatively high activation values

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "shot" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ebook
    -0.76
    norm
    -0.76
    Case
    -0.75
     cumbers
    -0.75
    sle
    -0.74
    tymology
    -0.74
     streng
    -0.73
    MpServer
    -0.73
    functional
    -0.72
    notation
    -0.71
    POSITIVE LOGITS
     shot
    1.05
     shoots
    0.93
    shot
    0.91
     shots
    0.91
     shoot
    0.87
     Shot
    0.85
    nikov
    0.81
    gun
    0.80
     Shooting
    0.79
     fired
    0.78
    Activations Density 0.025%

    No Known Activations