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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. 5669
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    Explanations

    phrases involving the comparison of advantages and disadvantages

    oai_token-act-pair · gpt-3.5-turbo

    conjunctions, particularly the word "and," highlighting the concept of addition or connection between ideas

    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
    hower
    -0.80
    SOURCE
    -0.76
    hirt
    -0.74
    vernment
    -0.73
    odcast
    -0.73
    uilt
    -0.71
    cens
    -0.70
    ¶ħ
    -0.70
    onet
    -0.68
    pointer
    -0.68
    POSITIVE LOGITS
     bolts
    0.87
     oranges
    0.83
     bounds
    0.81
     pitfalls
    0.78
     lows
    0.77
     tricks
    0.73
     evils
    0.72
     highs
    0.68
    Tokens
    0.67
     horrors
    0.67
    Activations Density 0.163%

    No Known Activations