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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. 3-RES-JB
    11. 11200
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    Explanations

    words related to rods and cones, which could relate to various contexts such as physical objects, medical conditions, or phrases in language

    oai_token-act-pair · gpt-3.5-turbo

    references to rods and cones, which are terms associated with structure or elements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eanor
    -0.76
    olitan
    -0.71
     Columb
    -0.65
    ablishment
    -0.64
    ĨĴ
    -0.63
     Carly
    -0.63
    onyms
    -0.63
    EEK
    -0.62
     antioxid
    -0.62
     Clare
    -0.61
    POSITIVE LOGITS
     rod
    1.06
     rods
    0.98
    fish
    0.94
    rig
    0.85
    erick
    0.84
    pole
    0.84
    lings
    0.79
    smith
    0.77
    wheel
    0.77
    rod
    0.76
    Activations Density 0.011%

    No Known Activations