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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. 5281
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    Explanations

    phrases related to experiences or challenges that individuals go through

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "through" in relation to personal struggles or experiences

    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
    iom
    -0.76
    intend
    -0.76
    CVE
    -0.74
    ially
    -0.67
    resso
    -0.66
    nai
    -0.66
    iel
    -0.65
    join
    -0.65
    ku
    -0.64
    CTV
    -0.63
    POSITIVE LOGITS
     puberty
    1.23
     phases
    1.08
     hoops
    0.90
    uberty
    0.89
     hardships
    0.88
     periods
    0.86
     stages
    0.83
     adversity
    0.82
     bouts
    0.82
     motions
    0.81
    Activations Density 0.049%

    No Known Activations