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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. 1-RES-JB
    11. 3296
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    Explanations

    places or locations mentioned in text

    oai_token-act-pair · gpt-3.5-turbo

    references to physical locations or places

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iscal
    -0.73
    erry
    -0.70
    ighters
    -0.68
    asted
    -0.63
    olyn
    -0.63
    ights
    -0.63
    Enlarge
    -0.63
    rd
    -0.63
    vous
    -0.63
    oug
    -0.62
    POSITIVE LOGITS
    bos
    0.95
    upon
    0.87
    holders
    0.83
     place
    0.83
    holder
    0.82
    Place
    0.80
     Places
    0.75
    places
    0.74
     places
    0.73
    place
    0.72
    Activations Density 0.036%

    No Known Activations