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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. 3700
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    INDEX
    Explanations

    mentions or references to memories or memoirs

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "mem" or its variations, indicating a focus on memory-related themes

    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
     Highlander
    -0.74
     ASC
    -0.71
     Nordic
    -0.68
     Icelandic
    -0.67
     Palmer
    -0.66
     Strauss
    -0.65
     Drift
    -0.65
     Kaiser
    -0.64
     boiling
    -0.64
    BuyableInstoreAndOnline
    -0.64
    POSITIVE LOGITS
    oir
    1.36
    phis
    1.31
    eor
    1.17
    pty
    1.13
    orial
    1.13
    achine
    1.12
    elong
    1.12
    oleon
    1.11
    orable
    1.09
    ograp
    1.07
    Activations Density 0.015%

    No Known Activations