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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. 6733
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    INDEX
    Explanations

    prepositions followed by a noun phrase that sets up a situation or scenario

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "in" across various contexts

    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
    idents
    -0.73
    forts
    -0.67
     alike
    -0.65
    acters
    -0.64
    Ħ¢
    -0.62
    ENTS
    -0.61
     importantly
    -0.58
     glances
    -0.58
     knows
    -0.58
    tics
    -0.58
    POSITIVE LOGITS
     which
    1.73
    which
    1.25
     Which
    1.18
    Which
    0.99
     wherein
    0.92
     whose
    0.90
     favor
    0.90
    efficiency
    0.90
     lieu
    0.84
     favour
    0.82
    Activations Density 0.311%

    No Known Activations