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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. 9-RES-JB
    11. 1350
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    Explanations

    words related to weather conditions

    oai_token-act-pair · gpt-3.5-turbo

    references to extreme environmental conditions and their effects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    senal
    -0.88
     Cosponsors
    -0.82
    onymous
    -0.74
     acronym
    -0.74
     Intent
    -0.73
    ioch
    -0.71
    ledged
    -0.70
    Lear
    -0.70
    Tokens
    -0.70
    Asset
    -0.70
    POSITIVE LOGITS
     humidity
    1.43
     temperatures
    1.36
     winters
    1.35
     rains
    1.31
     precipitation
    1.26
     humid
    1.21
     rainfall
    1.18
     summers
    1.18
     colder
    1.16
     storms
    1.12
    Activations Density 0.688%

    No Known Activations