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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. 11-RES-JB
    11. 21241
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    Explanations

    long numerical sequences with varying formats

    oai_token-act-pair · gpt-3.5-turbo

    numerical values or quantities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     severed
    -0.66
    erity
    -0.54
     flung
    -0.53
     countryside
    -0.53
     expend
    -0.53
     commuting
    -0.52
    UAL
    -0.52
     killer
    -0.52
     lavish
    -0.51
    ages
    -0.51
    POSITIVE LOGITS
    xff
    1.38
    xd
    1.14
    xa
    1.12
    xb
    1.08
    xe
    1.07
    xc
    1.05
    x
    1.03
    603
    0.89
    xes
    0.89
    644
    0.87
    Activations Density 0.039%

    No Known Activations