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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. 0-RES-JB
    11. 4076
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    Explanations

    specific ranch names

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "Ranch" and variations of it

    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
     analyse
    -0.69
     NI
    -0.69
    binary
    -0.67
     Io
    -0.67
     borne
    -0.66
    iae
    -0.66
    ae
    -0.65
     antis
    -0.65
     sanctions
    -0.64
     signalling
    -0.62
    POSITIVE LOGITS
     Ranch
    4.18
     ranch
    2.80
    ranch
    1.37
     Canyon
    1.24
     ranc
    1.17
     Reserv
    1.08
     Farms
    1.07
     Resort
    1.03
     Paso
    1.03
     Prairie
    1.02
    Activations Density 0.020%

    No Known Activations