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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. 13725
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    Explanations

    details related to personal experiences and emotional events

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to emotional distress and complicated personal situations

    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
    idates
    -0.69
    yip
    -0.68
    ItemTracker
    -0.65
    ãĥī
    -0.65
    ãĥĥãĥĪ
    -0.63
    ©¶æ¥µ
    -0.62
    kos
    -0.62
    SOURCE
    -0.61
    imble
    -0.61
    eah
    -0.59
    POSITIVE LOGITS
     my
    1.79
     myself
    1.44
     I
    1.26
    my
    1.23
     MY
    1.21
     me
    1.19
    My
    1.19
     My
    1.18
     mine
    1.01
    I
    0.98
    Activations Density 1.295%

    No Known Activations