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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. 22700
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    Explanations

    personal stories and experiences

    oai_token-act-pair · gpt-3.5-turbo

    instances of the pronouns "he" and "she" referring to characters in a narrative

    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
    akedown
    -0.72
     NP
    -0.72
    ãĥ©ãĥ³
    -0.69
    ãĥ¬
    -0.68
    orship
    -0.67
    cens
    -0.66
    upp
    -0.64
     endorsement
    -0.64
    Prem
    -0.63
     Influence
    -0.63
    POSITIVE LOGITS
     remembers
    1.29
     dreamed
    1.26
     fantas
    1.16
     awoke
    1.14
     wondered
    1.12
     dreams
    1.09
     wandered
    1.08
     volunteered
    1.07
     knew
    1.07
     slept
    1.05
    Activations Density 0.391%

    No Known Activations