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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 8177
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    Explanations

    phrases indicating a general or overall situation or condition

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a general sense of participation or involvement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    anth
    -0.65
    antha
    -0.64
    jriwal
    -0.63
    Draft
    -0.61
    Chair
    -0.61
     sleeper
    -0.61
     pione
    -0.60
     laure
    -0.59
    rigan
    -0.59
     Collective
    -0.57
    POSITIVE LOGITS
    Downloadha
    0.98
    aking
    0.72
    isan
    0.72
     consists
    0.69
    isans
    0.67
     thereof
    0.66
     (>
    0.65
     resembles
    0.61
    ography
    0.61
     (~
    0.60
    Activations Density 0.016%

    No Known Activations