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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. 15999
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    INDEX
    Explanations

    phrases related to future plans or intentions

    oai_token-act-pair · gpt-3.5-turbo

    repeated phrases indicating future actions or plans

    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
     Horus
    -0.73
    ullah
    -0.72
    unc
    -0.68
    friends
    -0.67
    lake
    -0.65
    ament
    -0.64
    ividually
    -0.63
    chery
    -0.63
    ifle
    -0.62
    respected
    -0.62
    POSITIVE LOGITS
    Ń·
    0.85
     eviction
    0.75
     bankrupt
    0.75
    ãĥ£
    0.73
     rall
    0.71
     overboard
    0.70
     sour
    0.69
     exha
    0.68
     brunch
    0.67
    ģĸ
    0.66
    Activations Density 0.052%

    No Known Activations