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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. 14221
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    Explanations

    common endings related to immersion or involvement, such as '-mer' or '-merse'

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the sequence "mer."

    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
    ERO
    -0.69
    ors
    -0.66
     Strauss
    -0.65
    Eat
    -0.64
     Rossi
    -0.64
    arial
    -0.64
    ards
    -0.63
    Benef
    -0.62
     Malfoy
    -0.62
    uture
    -0.60
    POSITIVE LOGITS
    gency
    1.15
    maid
    1.09
    chant
    1.09
    rill
    0.94
    gence
    0.92
    cedes
    0.89
    glas
    0.89
    mans
    0.87
    cium
    0.85
    lins
    0.85
    Activations Density 0.036%

    No Known Activations