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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

    instances of the word 'scaling'

    oai_token-act-pair · gpt-3.5-turbo

    terms related to scaling processes and scalability

    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
    riad
    -0.75
    present
    -0.73
    WP
    -0.67
    essler
    -0.67
     Bom
    -0.67
    vous
    -0.66
    cond
    -0.65
    utenant
    -0.64
    odor
    -0.64
    WI
    -0.63
    POSITIVE LOGITS
     scaled
    1.01
     scaling
    0.94
     scales
    0.92
     scale
    0.87
     eleph
    0.83
    anchester
    0.83
     heights
    0.81
     footprints
    0.77
     fins
    0.76
     ratios
    0.75
    Activations Density 0.009%

    No Known Activations