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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
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    Explanations

    the word "at" following prepositions

    oai_token-act-pair · gpt-3.5-turbo

    negations, particularly the word "doesn't."

    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
    çĦ
    -0.75
     Pengu
    -0.73
     Communities
    -0.66
     spirited
    -0.65
    estern
    -0.64
     Houses
    -0.62
     pillow
    -0.62
     Silk
    -0.62
     Returning
    -0.60
     Vict
    -0.60
    POSITIVE LOGITS
     necessarily
    1.12
     bother
    0.94
    necess
    0.93
    ember
    0.92
    actly
    0.88
     anymore
    0.87
     seem
    0.87
    urtles
    0.84
    aper
    0.83
     fit
    0.80
    Activations Density 0.084%

    No Known Activations