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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. 10837
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    Explanations

    phrases related to deep or profound concepts

    oai_token-act-pair · gpt-3.5-turbo

    references to deep-rooted issues or themes

    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
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    No Comments

    Negative Logits
    apest
    -0.84
    iard
    -0.76
     Pigs
    -0.72
     GEAR
    -0.70
    ãĤ¤ãĥĪ
    -0.70
    TC
    -0.68
     Palest
    -0.66
    swick
    -0.66
    ãĥīãĥ©
    -0.65
    ICA
    -0.63
    POSITIVE LOGITS
     pockets
    0.80
     depths
    0.80
     (>
    0.79
    ibur
    0.74
     trenches
    0.71
     penetrating
    0.69
     penetrated
    0.69
    ngth
    0.67
     penet
    0.67
     Detected
    0.67
    Activations Density 0.115%

    No Known Activations