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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. 7-RES-JB
    11. 17855
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    Explanations

    phrases related to future intentions or expectations

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating future actions or inevitability

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    */(
    -0.80
     partName
    -0.74
     Appears
    -0.67
    eways
    -0.59
     narrator
    -0.58
     pops
    -0.57
     Says
    -0.57
    requires
    -0.56
     CLSID
    -0.56
    phies
    -0.55
    POSITIVE LOGITS
     sooner
    0.74
    acea
    0.70
     retribution
    0.66
     imminent
    0.61
    antically
    0.61
     outwe
    0.60
    emort
    0.58
    cluded
    0.57
     hoped
    0.56
    aeda
    0.56
    Activations Density 0.964%

    No Known Activations