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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. 4-RES-JB
    11. 13637
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    Explanations

    phrases related to vast quantity or scale

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating large quantities or counts of something

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

    No Comments

    Negative Logits
    acea
    -0.67
    Script
    -0.64
    Own
    -0.63
    leep
    -0.61
    heses
    -0.61
    soever
    -0.60
    *:
    -0.60
    soType
    -0.60
    ·
    -0.60
     Directive
    -0.59
    POSITIVE LOGITS
     thousands
    1.18
     thousand
    0.94
     dozen
    0.92
     miles
    0.87
     pounds
    0.81
     hundred
    0.81
     millions
    0.81
     acres
    0.78
     kilometers
    0.78
    perties
    0.77
    Activations Density 0.075%

    No Known Activations