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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. 12-RES-JB
    11. 3431
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    Explanations

    mentions of losing something or someone

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    terms related to loss or negative experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    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
    TRY
    -0.76
    far
    -0.71
    ãĤ»
    -0.68
    echo
    -0.68
    word
    -0.67
    calling
    -0.66
    ulet
    -0.66
    RET
    -0.64
    SEE
    -0.63
    ersen
    -0.63
    POSITIVE LOGITS
     oneself
    1.40
     yourself
    1.21
     Yourself
    0.93
     yourselves
    0.88
     ourselves
    0.87
     someone
    0.86
     your
    0.86
     these
    0.82
     such
    0.78
     Your
    0.73
    Activations Density 0.442%

    No Known Activations