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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. 7-RES-JB
    11. 8879
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    INDEX
    Explanations

    phrases related to actions and decisions

    oai_token-act-pair · gpt-3.5-turbo

    expressions of intention or desire

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    olson
    -0.74
    umbn
    -0.68
    "}],"
    -0.68
    ]),
    -0.66
    ounter
    -0.65
    rolet
    -0.64
    tnc
    -0.61
    oubted
    -0.60
    roit
    -0.60
    agara
    -0.60
    POSITIVE LOGITS
    cknow
    0.95
    cknowled
    0.84
     Kills
    0.82
     kidding
    0.81
    HAHAHAHA
    0.77
    oret
    0.68
    ONSORED
    0.68
    bye
    0.65
     wanna
    0.64
     Bye
    0.64
    Activations Density 0.570%

    No Known Activations