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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. 6-RES-JB
    11. 1701
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    Explanations

    phrases related to natural resources and their applications

    oai_token-act-pair · gpt-3.5-turbo

    terms and phrases related to natural resources, healthcare, and social issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    staking
    -0.90
     summed
    -0.74
    displayText
    -0.64
    liest
    -0.63
     tightened
    -0.62
     smelled
    -0.62
    orthern
    -0.62
     tripled
    -0.61
     Referred
    -0.60
     circled
    -0.60
    POSITIVE LOGITS
     environments
    0.83
     products
    0.77
    otypes
    0.77
     contexts
    0.77
    folios
    0.76
    oids
    0.75
    ographies
    0.75
    ties
    0.74
     productions
    0.74
    types
    0.74
    Activations Density 0.833%

    No Known Activations