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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. 0-RES-JB
    11. 11984
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    Explanations

    town names

    oai_token-act-pair · gpt-3.5-turbo

    references to specific towns

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     explicit
    -0.69
     Vaj
    -0.68
     frag
    -0.65
     ext
    -0.65
     dece
    -0.63
     infl
    -0.62
     brake
    -0.59
     pornographic
    -0.59
     root
    -0.58
    asuring
    -0.58
    POSITIVE LOGITS
    town
    4.49
    Town
    2.42
     Town
    1.62
     town
    1.53
    city
    1.41
    stown
    1.36
     Towns
    1.26
     towns
    1.26
    ville
    1.14
    City
    1.11
    Activations Density 0.006%

    No Known Activations