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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. 10-RES-JB
    11. 21687
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    Explanations

    phrases indicating a future action or event

    oai_token-act-pair · gpt-3.5-turbo

    instances of the verbs "get" and "got" along with related expressions of progress or achievement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    stre
    -0.74
    orable
    -0.70
    ignore
    -0.60
    die
    -0.59
    deen
    -0.58
    mere
    -0.57
    overty
    -0.57
    ±
    -0.57
    please
    -0.57
    don
    -0.56
    POSITIVE LOGITS
     rid
    1.23
     acquainted
    0.97
     accustomed
    0.87
     tired
    0.87
     underway
    0.86
     bored
    0.85
     into
    0.83
     Started
    0.82
     notified
    0.76
     permission
    0.76
    Activations Density 0.083%

    No Known Activations