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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. 18301
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    Explanations

    locations or environments described in an adventurous or challenging manner

    oai_token-act-pair · gpt-3.5-turbo

    references to geographical locations and environments

    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
    tein
    -0.64
    -+-+
    -0.60
    nce
    -0.60
    Ī
    -0.60
     Species
    -0.58
    verbs
    -0.56
     Recommend
    -0.55
    ASED
    -0.55
     practition
    -0.55
    asus
    -0.54
    POSITIVE LOGITS
    creen
    1.43
    pring
    1.36
    cape
    1.35
    mith
    1.27
    chool
    1.25
    hift
    1.23
    hare
    1.22
    pace
    1.19
    cale
    1.18
    paces
    1.17
    Activations Density 0.359%

    No Known Activations