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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. 17540
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    Explanations

    sentences related to research experiments involving specific tasks and brain functions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to cognitive processes and memory tasks

    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
     Manor
    -0.80
     Bung
    -0.78
     Slim
    -0.76
    tek
    -0.75
    grim
    -0.72
    phalt
    -0.71
     Berm
    -0.71
    oil
    -0.69
    ulhu
    -0.69
    ranch
    -0.68
    POSITIVE LOGITS
     stimuli
    1.60
     cues
    1.35
     stimulus
    1.26
     perceptual
    1.23
     behaviors
    1.16
    versive
    1.15
     cognition
    1.12
     cognitive
    1.11
     verbal
    1.11
     elic
    1.10
    Activations Density 0.655%

    No Known Activations