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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. 11-RES-JB
    11. 14412
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    INDEX
    Explanations

    phrases denoting things that require attention or consideration

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate the action of "mentioning" something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    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
    eros
    -0.69
    Offline
    -0.67
    IDA
    -0.66
    accompan
    -0.66
    ato
    -0.65
    checks
    -0.65
    walking
    -0.64
    going
    -0.64
    eta
    -0.63
    tracks
    -0.63
    POSITIVE LOGITS
     mention
    1.78
     worry
    1.13
     diminish
    1.08
     offend
    0.99
     say
    0.94
     dispar
    0.94
     speak
    0.92
     exceed
    0.92
     underestimate
    0.90
    asters
    0.89
    Activations Density 0.040%

    No Known Activations