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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. 18333
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    Explanations

    phrases expressing intention, action, and purpose

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to expressing intentions or purposes

    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
    similar
    -0.65
    uffs
    -0.63
     disagree
    -0.61
    artisan
    -0.60
    Mart
    -0.58
     impair
    -0.58
    uthor
    -0.58
    azer
    -0.58
    ventions
    -0.57
    odox
    -0.57
    POSITIVE LOGITS
     boils
    0.81
     anyways
    0.71
     Wanted
    0.70
     stri
    0.70
     ga
    0.69
     nutshell
    0.66
     anyway
    0.65
    atech
    0.63
     endings
    0.62
     meant
    0.61
    Activations Density 0.165%

    No Known Activations