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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. 6098
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    Explanations

    the word "deliver" or variations of it

    oai_token-act-pair · gpt-3.5-turbo

    words related to delivery, particularly phrased as "deliver" in various contexts

    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
     Occupations
    -0.75
    SHIP
    -0.75
    ĸļ
    -0.74
     Moonlight
    -0.74
    ģ«
    -0.73
     Miko
    -0.70
    beans
    -0.70
    Ĥİ
    -0.70
     BaseType
    -0.68
     Bulg
    -0.68
    POSITIVE LOGITS
    ivery
    1.30
    aware
    1.28
    usional
    1.16
    ayed
    1.15
    icate
    1.12
    uxe
    1.11
    ivered
    1.09
    ivering
    1.07
    iber
    1.06
    usion
    1.03
    Activations Density 0.010%

    No Known Activations