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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. 9017
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    Explanations

    adjectives related to a specific location or area

    oai_token-act-pair · gpt-3.5-turbo

    the term "surrounding" and its variations indicating areas or contexts around a central subject

    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
    chin
    -0.74
    act
    -0.72
    iasis
    -0.71
    jab
    -0.70
    Bay
    -0.68
    err
    -0.68
    osis
    -0.68
    IFIC
    -0.68
    haps
    -0.68
    zin
    -0.67
    POSITIVE LOGITS
     fields
    0.70
     surrounding
    0.70
     jurisdictions
    0.66
    ments
    0.65
     surrounds
    0.65
    ttes
    0.65
    tones
    0.64
     communities
    0.64
     defences
    0.62
    ativity
    0.61
    Activations Density 0.011%

    No Known Activations