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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. 10-RES-JB
    11. 7095
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    Explanations

    versions of software

    oai_token-act-pair · gpt-3.5-turbo

    numerical values, particularly version numbers and updates

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     deduct
    -0.71
     voic
    -0.66
     affili
    -0.64
     divide
    -0.62
     reproductive
    -0.60
     funer
    -0.59
     thr
    -0.59
     linger
    -0.59
     deceptive
    -0.58
     wage
    -0.58
    POSITIVE LOGITS
    0
    1.58
    5
    1.23
    6
    1.15
    3
    1.14
    1
    1.13
    7
    1.12
    x
    1.12
    4
    1.12
    9
    1.11
    8
    1.09
    Activations Density 0.032%

    No Known Activations