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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. 10-RES-JB
    11. 20644
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    Explanations

    phrases related to materials or resources

    oai_token-act-pair · gpt-3.5-turbo

    phrases associated with quantity and measurements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iso
    -0.63
    hett
    -0.60
    halla
    -0.58
    SpaceEngineers
    -0.58
    ItemTracker
    -0.57
    onne
    -0.56
    media
    -0.55
     greets
    -0.55
    Prop
    -0.54
    Drive
    -0.53
    POSITIVE LOGITS
     sorts
    1.36
     varying
    1.27
    course
    1.17
     theirs
    1.06
     course
    1.02
     dubious
    0.97
     comparable
    0.97
     questionable
    0.96
     ours
    0.96
     hers
    0.96
    Activations Density 0.148%

    No Known Activations