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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. 6-RES-JB
    11. 17112
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    Explanations

    memories or related words

    oai_token-act-pair · gpt-3.5-turbo

    references to memories, particularly traumatic or impactful experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Galile
    -0.70
    annis
    -0.69
    ModLoader
    -0.68
    mans
    -0.67
    ahime
    -0.66
    retty
    -0.66
    jab
    -0.66
     penal
    -0.65
     nomine
    -0.65
    ats
    -0.64
    POSITIVE LOGITS
     Memories
    1.16
     memories
    1.07
     recollection
    1.03
    remember
    1.01
     remembered
    0.95
     remem
    0.94
     remembrance
    0.90
     vividly
    0.90
    abilia
    0.90
     vivid
    0.87
    Activations Density 0.037%

    No Known Activations