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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. 9-RES-JB
    11. 2871
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    INDEX
    Explanations

    descriptions of travel and destinations

    oai_token-act-pair · gpt-3.5-turbo

    locations and travel-related events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.80
     dynasty
    -0.71
     Frenzy
    -0.69
    uries
    -0.69
     generations
    -0.68
    aic
    -0.67
     chuckle
    -0.65
     scandals
    -0.64
     eras
    -0.63
     Dynasty
    -0.63
    POSITIVE LOGITS
     arriving
    1.19
     disembark
    1.17
    uggage
    1.15
     arrival
    1.15
     travelling
    1.14
     arrive
    1.14
     arrived
    1.12
    anwhile
    1.10
     itiner
    1.07
     flown
    1.02
    Activations Density 0.620%

    No Known Activations