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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. 8-RES-JB
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    Explanations

    the word "Come" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "come" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    raid
    -0.80
    nesota
    -0.76
    visors
    -0.74
    icon
    -0.71
    hedon
    -0.71
    rendered
    -0.71
    uliffe
    -0.71
    orthodox
    -0.70
    aceutical
    -0.69
    ombat
    -0.68
    POSITIVE LOGITS
     hither
    0.88
    leon
    0.85
    backs
    0.81
     forth
    0.74
     pouring
    0.74
     knocking
    0.66
     Morning
    0.65
     Franco
    0.64
     WRITE
    0.64
     Camb
    0.63
    Activations Density 0.047%

    No Known Activations