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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. 11171
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    Explanations

    references to lamps

    oai_token-act-pair · gpt-3.5-turbo

    references to lighting devices or lamps

    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
    REDACTED
    -0.76
    BLIC
    -0.76
    CHO
    -0.74
    088
    -0.74
    ÃįÃį
    -0.71
    ulate
    -0.70
    llah
    -0.69
    JUST
    -0.68
    ãĥį
    -0.68
     Unified
    -0.68
    POSITIVE LOGITS
     lamp
    1.06
     Lamp
    1.02
     bulb
    0.91
     lamps
    0.91
    oons
    0.88
    reys
    0.88
     lantern
    0.87
     bulbs
    0.84
    inated
    0.81
    oon
    0.74
    Activations Density 0.005%

    No Known Activations