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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. 6431
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    Explanations

    expressions of gratitude and appreciation

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to gratitude and subscription confirmations

    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
    amorph
    -0.73
    Fax
    -0.71
    omorphic
    -0.68
     Pwr
    -0.68
    affer
    -0.66
    pee
    -0.65
    akov
    -0.65
     helicop
    -0.63
    forth
    -0.62
    rouse
    -0.62
    POSITIVE LOGITS
    interstitial
    0.91
    zens
    0.74
    ahime
    0.67
    registered
    0.66
    wage
    0.62
     Trash
    0.62
    iframe
    0.60
     Funds
    0.60
    ifty
    0.59
     Entreprene
    0.59
    Activations Density 0.060%

    No Known Activations