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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. 15830
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    Explanations

    words related to outdoor activities, especially hunting

    oai_token-act-pair · gpt-3.5-turbo

    references to hunting activities and related contexts

    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
     Consent
    -0.87
    zzo
    -0.75
     Rubin
    -0.75
    onent
    -0.74
    oulos
    -0.71
    inks
    -0.70
    ipple
    -0.70
     Blocks
    -0.70
    vc
    -0.69
    ital
    -0.66
    POSITIVE LOGITS
     hunting
    3.64
     hunters
    2.61
     Hunting
    2.57
     hunts
    2.36
     hunter
    2.29
     hunt
    2.24
    hun
    2.20
     hunted
    2.11
     fishing
    1.80
     Hunters
    1.80
    Activations Density 0.014%

    No Known Activations