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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. 7-RES-JB
    11. 8495
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    Explanations

    words related to financial matters or positions, with a focus on the role of a Chancellor of the Exchequer

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "che" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iating
    -0.70
    INGTON
    -0.67
     Archdemon
    -0.66
    ECT
    -0.63
    thinkable
    -0.60
     indecent
    -0.60
     ecstasy
    -0.60
    ency
    -0.60
    ikuman
    -0.59
    iates
    -0.59
    POSITIVE LOGITS
    tto
    1.13
    tta
    1.12
    lla
    1.02
    lde
    0.98
    tt
    0.94
    bag
    0.94
    tti
    0.94
    bags
    0.94
    fter
    0.92
    chet
    0.92
    Activations Density 0.021%

    No Known Activations