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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. 4-RES-JB
    11. 2209
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    Explanations

    words related to specific locations or activities, particularly involving places named "Bungalows" or "Chiang Mai"

    oai_token-act-pair · gpt-3.5-turbo

    specific nouns related to locations and food items

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

    No Comments

    Negative Logits
    ngth
    -0.71
    vation
    -0.69
    LEASE
    -0.69
    quez
    -0.69
    */(
    -0.68
    place
    -0.66
    ________________
    -0.66
    POSE
    -0.65
    tto
    -0.65
    RESULTS
    -0.64
    POSITIVE LOGITS
    iang
    1.08
    alore
    0.98
    oing
    0.97
    glers
    0.95
    aleb
    0.88
    hetti
    0.86
    endum
    0.85
    lia
    0.85
     bung
    0.84
     Bung
    0.83
    Activations Density 0.026%

    No Known Activations