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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. 8737
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    Explanations

    words related to desirable or favorable locations or conditions

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with places and their desirability as destinations or safe havens

    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
    ulz
    -0.77
    andro
    -0.64
    acci
    -0.63
     insign
    -0.61
     sleeves
    -0.61
    IGHTS
    -0.60
    ahon
    -0.58
    REE
    -0.57
     inhal
    -0.57
     Fitzpatrick
    -0.57
    POSITIVE LOGITS
     dwell
    0.94
     destinations
    0.94
     destination
    0.88
     attractions
    0.88
     awaits
    0.82
     inhabited
    0.82
     where
    0.81
     wherein
    0.79
     beck
    0.79
     attraction
    0.78
    Activations Density 0.196%

    No Known Activations