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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. 17553
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    Explanations

    phrases related to something being the main focus or most important aspect

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate the primary focus or purpose of a context

    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
    Afee
    -0.74
     Chaser
    -0.71
    Lyn
    -0.70
    iry
    -0.68
     Oaks
    -0.66
     Mann
    -0.66
    wal
    -0.63
     Commissioners
    -0.63
    nee
    -0.62
    holes
    -0.61
    POSITIVE LOGITS
     aimed
    0.92
     geared
    0.86
     concentrated
    0.86
     consisted
    0.85
    tenance
    0.85
     consist
    0.85
     focused
    0.84
     relying
    0.82
     revolves
    0.82
     comprised
    0.81
    Activations Density 0.013%

    No Known Activations