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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. 4-RES-JB
    11. 7805
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    Explanations

    words related to specific locations or places, potentially focusing on proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "dale" and its variations in geographic or proper names

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

    No Comments

    Negative Logits
    ugal
    -0.93
    ntil
    -0.78
    selage
    -0.74
    unity
    -0.70
    ossibility
    -0.69
    uming
    -0.69
    urally
    -0.69
    urers
    -0.69
    rupulous
    -0.69
    efully
    -0.68
    POSITIVE LOGITS
    dale
    1.17
    stones
    0.95
    ville
    0.79
    mont
    0.76
    stone
    0.75
     Shopping
    0.73
    berry
    0.72
    hill
    0.72
    minster
    0.71
    igans
    0.70
    Activations Density 0.008%

    No Known Activations