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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 22809
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    Explanations

    numerical references in the form of the word "aph."

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of "aph" in various contexts and formats

    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
    PUT
    -0.90
    nings
    -0.80
    âĸ¬âĸ¬
    -0.74
    swick
    -0.74
     Supplemental
    -0.70
     Borderlands
    -0.70
     fitting
    -0.67
    LOAD
    -0.66
    éĹĺ
    -0.64
     Kaepernick
    -0.63
    POSITIVE LOGITS
    obia
    1.21
    ysics
    1.16
    aph
    1.12
    ysical
    1.10
    osate
    1.06
    orically
    1.06
    armac
    1.03
    alon
    1.03
    obic
    1.02
    aith
    0.98
    Activations Density 0.010%

    No Known Activations