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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. 3-RES-JB
    11. 16090
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    Explanations

    verbs related to creating or preparing something

    oai_token-act-pair · gpt-3.5-turbo

    instances of the verb "make" and its variations in the context of recipes or creation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    imaru
    -0.67
     Mub
    -0.63
     Clause
    -0.62
    heter
    -0.59
    ---------
    -0.59
    76561
    -0.58
    ban
    -0.57
    Fla
    -0.57
     citing
    -0.57
     Skies
    -0.56
    POSITIVE LOGITS
     sure
    1.08
    hift
    0.89
    ä½ľ
    0.83
    itions
    0.79
    zie
    0.77
    arte
    0.77
    ampunk
    0.76
    netflix
    0.75
     merry
    0.75
    ezvous
    0.74
    Activations Density 0.137%

    No Known Activations