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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. 12338
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    Explanations

    phrases related to reminders or memory triggers

    oai_token-act-pair · gpt-3.5-turbo

    expressions that convey the concept of reminders or recollections

    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
    phthal
    -0.67
     livest
    -0.63
    yna
    -0.62
    processing
    -0.61
    apor
    -0.61
    tain
    -0.61
    ramid
    -0.61
    estyles
    -0.60
    tan
    -0.58
    iop
    -0.57
    POSITIVE LOGITS
     thereof
    0.85
     why
    0.85
     of
    0.78
     fond
    0.76
     remind
    0.75
     how
    0.72
    why
    0.70
     nostalg
    0.69
     reminds
    0.69
    reader
    0.68
    Activations Density 0.034%

    No Known Activations