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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. 22860
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    INDEX
    Explanations

    mentions of company names or products

    oai_token-act-pair · gpt-3.5-turbo

    mentions of 'ours' in various contexts

    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
     takeoff
    -0.75
    Battery
    -0.62
    ew
    -0.62
    110
    -0.60
     replay
    -0.60
     revert
    -0.59
    790
    -0.58
     decimal
    -0.58
    335
    -0.57
     mid
    -0.57
    POSITIVE LOGITS
    ours
    1.60
    ouring
    1.22
    oured
    1.13
    our
    1.11
    OUR
    0.92
    iful
    0.84
    colour
    0.80
    maps
    0.76
    hran
    0.75
    ources
    0.74
    Activations Density 0.009%

    No Known Activations