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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. 1349
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    Explanations

    the word "Mass" with varying activation values

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the term "Mass" followed by various contexts in which it appears

    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
    thens
    -0.70
     ponies
    -0.68
    gered
    -0.66
    gers
    -0.66
    stal
    -0.66
     Bil
    -0.65
    gery
    -0.64
     Tayyip
    -0.64
    LOAD
    -0.64
     è£ıç
    -0.63
    POSITIVE LOGITS
    achusetts
    1.46
    achus
    1.37
    acre
    1.07
    imil
    1.07
    achu
    1.02
    enary
    0.92
    igation
    0.90
    imo
    0.90
    ennial
    0.89
    arella
    0.86
    Activations Density 0.021%

    No Known Activations