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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. 2-RES-JB
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    INDEX
    Explanations

    mentions of the name "Rom"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "Rom" related to locations, individuals, or themes

    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
    pressed
    -0.72
    insula
    -0.69
     graded
    -0.68
     eyed
    -0.67
    ctic
    -0.67
    xual
    -0.66
    netflix
    -0.66
    gettable
    -0.66
     attendant
    -0.66
     weights
    -0.65
    POSITIVE LOGITS
     Rom
    1.02
    ijn
    1.00
    antics
    0.91
    aji
    0.88
    ulus
    0.87
    ano
    0.86
    anes
    0.86
    athan
    0.84
    agna
    0.83
    antic
    0.82
    Activations Density 0.008%

    No Known Activations