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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 12-RES-JB
    6. 4196
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    INDEX
    Explanations

    words related to physical sensations or qualities such as warmth and sharpness

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    adjectives that describe intensity or magnitude

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     journeys
    -0.72
     things
    -0.71
     defects
    -0.70
     licences
    -0.69
     constructs
    -0.68
     entities
    -0.68
     behaviours
    -0.67
     legends
    -0.66
     matches
    -0.66
     pathways
    -0.66
    POSITIVE LOGITS
    opsy
    0.96
    ę
    0.95
     TheNitrome
    0.95
    Ğ
    0.95
    ă
    0.95
    	
    0.95
    ActionCode
    0.95
    Ā
    0.95
     RandomRedditor
    0.94
    Ē
    0.94
    Activations Density 0.220%

    No Known Activations