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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. 1-RES-JB
    11. 10239
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    Explanations

    phrases related to data, analysis, reports, or claims

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "to" and its variations in context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    deen
    -0.74
    usher
    -0.72
     Tiff
    -0.71
    dict
    -0.69
    lda
    -0.68
    anza
    -0.68
    irlf
    -0.67
    ogun
    -0.66
     Tanks
    -0.66
    hiba
    -0.65
    POSITIVE LOGITS
     bet
    0.66
    alf
    0.66
    âĸ¬âĸ¬
    0.65
    functional
    0.65
    Ò
    0.64
    IBLE
    0.62
    ethical
    0.60
    client
    0.60
    âĸ¬
    0.60
     âĢİ
    0.59
    Activations Density 0.001%

    No Known Activations