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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 23960
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    Explanations

    words related to technical or specific language, possibly related to programming or technical manuals

    oai_token-act-pair · gpt-3.5-turbo

    words related to automatic processes or systems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     cat
    -0.69
     str
    -0.68
     rough
    -0.61
     scheme
    -0.61
     cruel
    -0.60
     scor
    -0.60
     tort
    -0.59
     torn
    -0.59
     Dh
    -0.59
     frig
    -0.58
    POSITIVE LOGITS
    omatic
    4.70
    oms
    1.33
    omal
    1.15
    om
    1.14
    omial
    1.14
    matic
    1.13
    oma
    1.13
    automatic
    1.13
    onomous
    1.11
    onic
    1.08
    Activations Density 0.010%

    No Known Activations