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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. 9-RES-JB
    11. 9873
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    Explanations

    words related to a specific person, possibly related to sports or media

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "son" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ptions
    -0.79
    arded
    -0.78
    hered
    -0.69
    PER
    -0.61
    odies
    -0.59
    ASED
    -0.59
     deficits
    -0.58
    enance
    -0.56
    grades
    -0.56
     probing
    -0.56
    POSITIVE LOGITS
    ics
    0.87
    nen
    0.86
    ja
    0.79
    earth
    0.78
    ville
    0.78
    nel
    0.77
    nette
    0.76
    alia
    0.75
    strom
    0.74
    emouth
    0.74
    Activations Density 0.048%

    No Known Activations