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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. 16615
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    Explanations

    phrases or words related to being well-established, well-rounded, or full-blown

    oai_token-act-pair · gpt-3.5-turbo

    adjectives that describe quality and completeness

    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
    ADS
    -0.68
    flix
    -0.65
    lua
    -0.65
    âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦
    -0.64
    eligible
    -0.63
    alos
    -0.63
    LAN
    -0.63
    odon
    -0.62
    xxxxxxxx
    -0.60
    codes
    -0.60
    POSITIVE LOGITS
     version
    0.67
     nature
    0.66
    itarian
    0.65
     sounding
    0.63
     subsequ
    0.63
     endeavor
    0.62
     appearance
    0.61
     farewell
    0.60
     chunk
    0.60
     environment
    0.60
    Activations Density 0.267%

    No Known Activations