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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. 8-RES-JB
    11. 24127
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    Explanations

    terms related to wind and air flow

    oai_token-act-pair · gpt-3.5-turbo

    negative or problematic aspects of conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ABE
    -0.79
     Unicode
    -0.71
     Parenthood
    -0.70
     Authent
    -0.69
     Hilbert
    -0.68
     Norris
    -0.65
     Hamb
    -0.65
     Inventory
    -0.64
     annotation
    -0.64
     AVG
    -0.64
    POSITIVE LOGITS
    poll
    1.14
    borne
    1.13
    weather
    1.12
    backed
    1.11
    condition
    1.11
    syn
    1.09
    producing
    1.08
    tun
    1.08
    driven
    1.07
    water
    1.05
    Activations Density 0.067%

    No Known Activations