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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 13932
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    Explanations

    terms related to photovoltaic technology and photography

    oai_token-act-pair · gpt-3.5-turbo

    terms related to photography or photonics

    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
    rl
    -0.71
     Rutherford
    -0.71
     Civic
    -0.70
     Forbidden
    -0.70
    Interstitial
    -0.66
     Jesuit
    -0.66
     Spoon
    -0.66
     Cheese
    -0.65
     Heights
    -0.64
     Hastings
    -0.64
    POSITIVE LOGITS
    oshop
    1.19
    ographs
    1.07
    ocard
    1.05
    osh
    0.97
     phot
    0.95
    ograph
    0.94
    ograp
    0.92
    odynamic
    0.92
    ographed
    0.92
    oreal
    0.90
    Activations Density 0.020%

    No Known Activations